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Overview: WHY COOLSYS? At CoolSys, we offer more than just a job—we provide stability, growth, and industry-leading benefits for our employees. No wonder Newsweek named CoolSys one of America’s Greatest Workplaces! As a large company serving diverse customers, we invest in our team with: • Competitive Compensation: $28-$46/HR, • Ongoing Education & Training: Access to state-of-the-art facilities and paid online training., • Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid vacation/holidays, and a 401(K) match., • Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing., • Extra Perks: Quarterly bonus plan, tuition reimbursement, employee discounts on vehicles, hotels, theme parks, pet insurance, and more. Join us and advance your career while working with top-tier clients in the HVAC and refrigeration industry! Responsibilities: · Ability to report to work in a timely manner as scheduled by supervisor. · Repair and overhaul equipment such as compressors, water pumps, air handlers, electrical and mechanical control devises and other similar machinery. · Test malfunctioning systems and components using electrical and/or mechanical skills. · Maintain legible corporate and personal records of work history. · Provide general repair work on refrigeration, heating and ventilation equipment such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors and electric motors. · Provide preventative maintenance activities; diagnose equipment malfunctions and operating efficiency of mechanical equipment. · Perform work on minor construction and remodeling projects including startups of new installations. · Other duties as assigned. Qualifications: · 6 years plus of commercial refrigeration experience required. · Equivalent passing grade, 80% or better, on Tek Skills Level 3 test. · Experience working on refrigeration equipment in convenience stores or supermarkets a strong plus. Familiarity with single systems and rack systems along with previous work on display cases and walk-in boxes is very helpful. · Must have a good driving record and be able to work independently. · Emergency on-call availability is a basic requirement. · Must be able to lift up to 60 lbs. with no assistance and also be able to sit and/or stand for several hours at a time. Join Us: Today, there are 27 different companies that make up the CoolSys family of brands. Our valued employees are at the heart of our continued growth and success. We invite you to be part of that growth! Connect with us on and . CoolSys is an EEO/AA Employer. All qualified individuals - Including all ages, colors, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics are encouraged to apply. Pre-employment background screening (criminal and MVR for driving positions) and drug testing are required for all positions. CoolSys will consider qualified applicants with criminal histories in a manner consistent with federal law, state law, or local ordinance. Sr, senior, Service Tech, refridgeration, HVAC, refrigeration, HVAC-R, HVAC/R, diagnostic, commercial, service, install, mechanical, mechanic, apprentice, AC, field service, chiller, specialist, HVACR, supermarket, rack systems

Job Description About Peptilogics Peptilogics is a surgical therapeutics company dedicated to curing and preventing devastating medical device-related infections (MDRI). Our lead candidate, PLG0206, is a first-in-class drug that targets biofilm, a protective bacterial matrix that is the root cause of device infections across surgical categories, and has no approved cure to date. PLG0206 is currently being evaluated in a Phase 2/3 registration trial for the treatment of prosthetic joint infection (PJI), the first of multiple potential indications to treat and prevent MDRI. Job Title: Senior Director, Corporate Operations Location(s): Pittsburgh, PA or Remote Job Status: Full-Time Supervisor: Chief Operations Officer (COO) Position Overview The Senior Director, Corporate Operations will report to the COO and play a critical role in driving the execution of Peptilogics' operational and strategic priorities. This individual will partner with executive leadership to translate business goals into actionable plans, oversee cross-functional operations, and optimize systems and processes to support growth. The Senior Director will have broad exposure across the organization, with a focus on enabling execution, improving scalability, and contributing to key strategic initiatives. Essential Functions • Serve as a key operational leader, partnering with the COO and executive team to align strategy with execution, • Lead company-wide operational planning and ensure alignment with strategic goals, • Facilitate forecasts, budget development, resource allocation, vendor payments, and operational performance tracking with Finance, • Implement and improve systems, processes, and tools to drive operational scalability and excellence, • Implement and maintain the Quality Management System (QMS) and oversee SOP creation, updates, and audit readiness, • Ensure compliance across corporate operations, development activities, legal, insurance, and regulatory requirements; foster a culture of compliance, • Oversee management of non-owned physical facilities (labs, offices, external manufacturing sites), IT infrastructure, and enterprise software systems, • Work closely with the Development team to manage relationships with CROs, CMOs, and preclinical and clinical trial providers, • Lead sourcing, procurement, and logistics to support research, development, and external manufacturing operations, • Negotiate contracts and ensure cost-effective resource utilization across all operational activities, • Manage HCP contracting and compliance processes, • Serve as primary point of contact for legal service vendors and coordinate legal operational needs, • Identify operational risks, gaps, and bottlenecks, and proactively lead solutions, • Manage the Operations team including hiring, performance, coaching, and career development, • Drive operational KPIs and reporting, including preparation of materials for executive and board updates, • Ensure operational compliance with company policies, regulatory requirements, and best practices Additional Duties and Responsibilities • Support business development and partnership activities through operational due diligence and integration planning, • Support fundraising and investor relations by providing operational insights, data, and reporting, • Support cross-functional teams (R&D, Commercial, Project Management) in executing strategic initiatives, • Collaborate with the COO and Finance on long-range planning and scenario modeling, • Contribute to shaping company culture by supporting initiatives around collaboration, communication, and team building, • Perform other duties as assigned Required Qualifications and Skills • Bachelor's degree in a relevant field (e.g., life sciences, business, engineering); advanced degree (MBA, MS, PhD) preferred, • 10+ years of experience in biotech, pharmaceutical, or life sciences operations, • 3–5 years in a leadership or senior operations role, ideally in a high-growth or venture-backed environment, • Experience scaling operations in a startup or growth-stage company (preferred), • Prior operational involvement in fundraising, investor relations, or board reporting (preferred), • Strong project management and organizational skills, with the ability to manage complex, cross-functional initiatives, • Excellent financial and business acumen; experience with budgets, forecasts, and KPIs, • Proven ability to build, lead, and develop teams, • Deep understanding of operational compliance, including legal, regulatory, quality management (QMS), and audit readiness, • Proven ability to build, lead, and develop teams across diverse operational functions, • Exceptional interpersonal and collaboration skills, with the ability to influence at all levels, • Outstanding verbal and written communication skills, including executive-level reporting and presentations, • Excellent verbal and written communication skills, including executive-level reporting and presentations, • Ability to thrive in a dynamic, fast-paced environment with shifting priorities, • Ability to drive cross-functional alignment and collaboration across scientific, operational, and corporate teams, • Strategic thinking and ability to scale operations in a growth-stage environment or commercialization-ready biotech environment, • Experience with contract development, procurement, and resource optimization, • Familiarity with QMS implementation, SOP development, and compliance frameworks in a biotech/pharma setting, • Financial fluency to support investor relations, board reporting, and fundraising activities, • Familiarity with technology-driven R&D environments including computational biology, machine learning, • Change management and process improvement capabilities, • Experience managing HCP engagement processes and ensuring compliance in clinical development Our Commitment to Equal Opportunity Peptilogics is proud to be an equal opportunity employer. We make hiring decisions based on qualifications, experience, and potential—without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status. We welcome candidates from all backgrounds to apply.

Job Description On our Behaviors team (Prediction and ML Planner), you will have the opportunity to work with world-class ML engineers, whose mission is to make self-driving vehicles a reality and to create a positive social impact. The Behaviors team develops ML models that learn how different agents navigate complex real-world traffic scenarios. We leverage these models to set the behavior of our self-driving vehicle, and predict the behavior of other agents such as vehicles and vulnerable road users. We are looking for proven leaders and technical experts who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company. What You'll Be Doing: • Define and execute motion planning and prediction projects that improve our self-driving vehicles' capability to safely, comfortably and legally navigate complex traffic scenarios, • Lead, manage and grow a team of engineers, • Design and lead the implementation of behavior models that leverage the latest advancements in machine learning, generative AI and reinforcement learning, • Productionize and deploy solutions onto autonomous vehicle fleets, • Collaborate with perception, simulation, data platform and integration teams to validate and enhance your products' on-road performance, • Communicate strategies, progress and challenges to executive leadershipWhat We're Looking for:, • Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience, • Proven leadership skills at executing large, complex technical initiatives, • Extensive experience managing and leading engineers, • Experience with deep learning frameworks such as TensorFlow or PyTorch, • Fluency in Python, including standard scientific computing libraries, • Proven track record of designing, developing and deploying ML solutions for autonomous vehicles or robotics, • Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods, • Excellent communication and interpersonal skillsBonus Points:, • Experience with embedded systems and real-time optimization, especially in the autonomous driving industry, • Experience with state of the art generative AI, and/or reinforcement learning, paradigms, • Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.), • Strong programming skills in C++ and/or CUDA programming The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$240,000—$330,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionAbout Us Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About You As a Solutions Engineer at Gather AI, you will contribute to our efforts to expand market reach, drive revenue growth, and establish strategic partnerships with clients seeking to unlock the potential of AI-driven insights. You will contribute materially to supporting a high-performing sales team and collaborate closely with cross-functional stakeholders to drive the adoption of our transformative technology solutions. We're looking for a passionate, pre-sales engineer with demonstrated success in enterprise sales of automation solutions. Experience in warehouse automation/supply chain/logistics technology. You will be comfortable working in a fast-paced start-up/scale up environment, be an independent self-starter and have previous experience in scaling a sales organization. You will be empowered to make a tangible impact at a company where innovative ideas are valued and contributions make a difference. What You'll Do • Drive high growth sales while expanding our market presence across the US., • Support strategic sales plans to achieve revenue targets and drive market penetration in key sectors and geographic markets., • Support sales in identifying and pursuing new business opportunities, including strategic partnerships, alliances, and enterprise sales opportunities., • Build and maintain strong relationships with clients, understanding their business challenges and objectives to provide tailored AI solutions that deliver measurable value., • Track technical sales metrics and trends to ensure continued growth, • Support sales in developing business cases and gaining alignment from technical and operational decision makers, • Develop technical objection handling guidelines to support the sales team in effectively articulating the value proposition of Gather AI's solutions and overcoming customer objections., • Stay abreast of industry trends, competitive dynamics, and customer needs to inform sales strategies and tactics effectively., • Collaborate closely with product management, marketing, and other internal teams to align sales efforts with product development, marketing campaigns, and business objectivesWhat You'll Need, • Bachelor's degree in engineering, or a related field, • 3+ years of experience in enterprise sales in supply chain technology or robotics industry., • Have a working knowledge of the following and ability to understand customer needs in these areas:, • Demonstrated success in selling high-value, complex solutions to enterprise clients, with a focus on consultative selling and ROI-based discussions., • Strong understanding of supply chain operations, logistics, and related challenges., • Proven track record of success in application engineering pre-sales roles., • Understanding of AI, machine learning, and data analytics, with the ability to articulate complex technical concepts to non-technical audiences., • Proficiency in using CRM tools to manage and track sales activities, • Strong team collaboration skills with a track record of activating commercial teams to achieve high sales performance., • Excellent communication and presentation skills, with the ability to influence and persuade key stakeholders at all levels., • Strategic thinker with a results-oriented mindset and a passion for driving growth and innovation., • Entrepreneurial spirit with the ability to thrive in a fast-paced, dynamic environment.Bonus points for..., • Experience collaborating in enterprise selling methods, especially in industrial automation, • Experience in buying and implementing automation at a major ecommerce, retail, or logistics company, • Startup experience, and/or experience working in fast-paced environments, • Advanced degree in business, marketing, engineering, or a related fielCompensation and Benefits, • Compensation package will include equity, • Comprehensive medical, dental, vision and life insurance, • Very flexible schedule, • Unlimited PTO and flexible scheduling If this sounds like a good fit we'd love to meet you. Robotics is the future and we're leading the charge with our software-only business model. Come help us change the world!

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai Waabi’s autonomous-driving stack is powered by Waabi World, which delivers realistic, scalable, controllable, and efficient simulation. As a Research Engineer in the World Models team, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments. This role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World’s ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training. You will… • Design, implement, and scale state-of-the-art generative and predictive world-modeling systems: Video generation and prediction Latent diffusion / autoregressive / flow-matching models multimodal foundation models for driving scenes LLM / VLM / VLA methods for scene understanding, reasoning, and control Generative scenario modeling and controllable simulation Model distillation • Collaborate closely with Research Scientists to translate cutting-edge model prototypes into robust, large-scale, distributed training and inference pipelines., • Optimize model training and inference for efficiency, speed, and reliability on large-scale datasets., • Build large scale data pipelines to build high quality datasets for training, • Ensure the quality, stability, and maintainability of the world model codebase and infrastructure., • Stay on top of emerging advances in generative AI, distributed systems, and efficient model deployment in robotics. Qualifications: • Strong software engineering and implementation: You have very strong Python & PyTorch (or JAX) skills; strong software-engineering fundamentals, and extensive experience with distributed training and large-scale model deployment., • Demonstrated technical impact: You have a Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or equivalent industry experience in model development and scaling., • Expert domain knowledge: You have built and deployed generative or predictive models of the physical world, focusing on scale, efficiency, and robustness for real-world applications., • Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects in a fast-paced environment. Bonus: • Experience with infrastructure and tooling for large-scale ML training (e.g., cloud platforms, Kubeflow, Ray)., • Experience with efficient model serving and deployment (e.g., ONNX, TensorRT)., • Publications or research at top ML/CV/Robotics conference (e.g., CVPR, ECCV, NeurIPS) The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai Waabi’s autonomous-driving stack is powered by Waabi World, which aims to deliver realistic, scalable, controllable, and efficient simulation. As a Research Scientist in World Models, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments. This role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World’s ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training. You will… • Conduct fundamental and applied research in generative and predictive world-modeling, • Video generation and prediction., • Latent diffusion / autoregressive / flow-matching models., • Multimodal foundation models for driving scenes., • LLM / VLM / VLA methods for scene understanding, reasoning, and control., • Generative scenario modeling and controllable simulation., • Model distillation. • Collaborate with engineers to integrate models into large-scale, distributed training and rendering pipelines., • Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH)., • Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation., • Stay on top of emerging advances in generative AI, differentiable rendering, knowledge distillation/compression, and robotics. Qualifications: • Demonstrated technical innovation: You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field.., • Strong prototyping and implementation: You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training., • Expert domain knowledge: You have built generative or predictive models of the physical world with scale and efficiency in mind for real-world applications, • Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects. Bonus: • Proven ability to translate research into production-quality code and measurable product impact., • Demonstrated publications (first-author) in top-tier venues on topics such as world models, generative simulation, video prediction, diffusion, flow-matching, or foundation models for autonomy. The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai As a Software Engineer in High-Performance Onboard Algorithms, you will be a key contributor to the development and optimization of our real-time signal processing pipeline for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and others) with low latency and high reliability. We value original, high-impact ideas and rigorous experimental validation. You will… • Be part of a multidisciplinary team of Engineers and Scientists working on building a best-in-class, high-performance sensor processing stack., • Design, implement, and optimize highly efficient algorithms for sensor data acquisition, processing, fusion, and filtering, ensuring real-time performance on target hardware., • Work on shipping next-generation signal processing software, leveraging parallel computing architectures (e.g., CPU, GPU, specialized accelerators) and low-level system programming., • Collaborate with Waabi’s autonomy and hardware teams to ensure the efficiency and robustness of the entire system. Qualifications: • Fundamentals of computer architecture. You have a deep understanding of how modern computer systems work (multi-core, vector units, cache management, memory hierarchy, networking)., • Data-parallel algorithms. You have experience implementing data-parallel and compute-intensive algorithms in domains such as image/video processing, compression, and optimizing modern neural networks., • Heterogeneous computing and systems programming. You are comfortable with balancing workloads across multiple different processors, managing the ownership and movement of data buffers, and optimizing for overall system performance., • Performance profiling and optimization. You know how to identify bottlenecks in a complex codebase and make optimization decisions that have lasting impact., • Shipping Production Software. You have experience in reading and developing production quality software. You write efficient and maintainable code in a native language such as C++ or Rust (we use Rust and a variety of DSLs). Bonus: • Experience with accelerated computing like CUDA, Vulkan, and OpenCL., • Experience with domain specific languages such as Halide, Taichi, Mojo, or Warp., • Experience with CPU intrinsics (SSE/AVX, NEON/SVE)., • Experience with embedded systems., • Shipped production software in one or more of the following areas: image and video processing, compression, streaming algorithms, deep learning, geometry processing., • Publications in top-tier conferences or journals related to high-performance computing, image processing, computer graphics, computer vision, machine learning, or self-driving technology. The US yearly salary range for this role is: $148,000 - $260,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCompany DescriptionGovini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science & Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.Job Description We are seeking a customer-obsessed product manager to drive the development and integration of AI/ML capabilities within Ark. This is an individual contributor role responsible for defining, prioritizing, and delivering AI/ML solutions that enhance our Applications and transform how current and future users make critical decisions. As the AI/ML Product Manager, you will own the AI/ML roadmap and therefore be accountable for identifying opportunities where artificial intelligence and machine learning can deliver meaningful value to our customers, translating complex technical capabilities into user-friendly solutions, and ensuring the successful integration of our models and algorithms into Ark. You will need to think strategically about how to position Govini as a leader in Defense AI, identify competitive advantages and market opportunities through AI/ML capabilities, and drive strategic decisions about how AI/ML innovations differentiate Govini in the marketplace. You will partner with data scientists, ML engineers, application-aligned PMs, and our engagement teams to identify high-impact use cases, define requirements for ML-powered features, and ensure seamless delivery of intelligent capabilities that scale across our customer base. In this role, you will bridge the gap between cutting-edge AI/ML research and practical defense acquisition applications. In order to do this job well, you must possess a moderate technical understanding of AI/ML methodologies and emerging technology combined with exceptional product judgment to identify opportunities where AI/ML can deliver measurable customer value. You must work effectively cross-functionally in often ambiguous circumstances, translating complex technical capabilities into clear product requirements and articulating the value of AI/ML solutions both internally and externally to non-technical stakeholders. In a typical week, an AI/ML product manager could expect to: • Spend time on site with users, seeking to understand their pain points and triangulate the commonalities where AI/ML can automate manual processes, enhance decision-making, or provide predictive insights, • Write detailed product requirements documents (PRDs) and user stories for AI/ML features, • Collaborate with data science and AI/ML engineering teams to assess the feasibility of proposed solutions, • Partner with designers and Application PMs to integrate AI/ML capabilities seamlessly into existing Ark workflows, ensuring models enhance rather than disrupt user experiences, • Work with the sales team to articulate the value proposition of AI/ML features to prospective customers and understand market demand for intelligent automation, • Define success metrics for AI/ML initiatives Scope of Responsibilities • Define and communicate the AI/ML product strategy and roadmap aligned with Govini's positioning, mission, and customer needs, • Identify and prioritize high-impact opportunities where AI/ML can transform user workflows, • Validate concepts using the value proposition canvas/business model canvas, build a comprehensive business case, and communicate and defend the prioritization internally, • Conduct market research and competitive analysis to inform AI/ML product positioning, • Partner with data science, AI/ML, and software engineering teams to scope the expected associated investment costs/timelines, and ensure that the business can deliver on, • Facilitate market introduction of new features/functions while balancing tradeoffs of risk, cost, and speed, • Ensure smooth integration of prototyped features/functions into Ark for utilization across customer accounts This is a full-time team member position, working in one of our offices at our Arlington, VA or Pittsburgh, PA locations. This role may require up to 40% travel Qualifications • U.S. Citizenship is requiredRequired Skills:, • 5+ years of product management experience with at least 3 years focused on AI/ML products or data-driven solutions, • Experience with ML development lifecycle, including data preparation, model training, validation, deployment, and monitoring, • Proven track record of successfully launching AI/ML products or features in production environments, • Strong value orientation, understanding of what matters for our customers, and why, • Self-starter, owner mentality, • Ability to thrive in a fast-paced, dynamic work environment, • Exceptional written and oral communication skills across all levels of the business, • Bachelor's degree in business or a technology-related field Desired Skills: • Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship, • Experience in or exposure to the nuances of a startup or other entrepreneurial environment, • Experience in or around the DoW, • Full product lifecycle experience, from early idea through production and maintenance, • Familiarity with the value proposition canvas and/or business model canvas frameworks, • Advanced degree in a business or technical field, • We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you.We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you.Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai You will...- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning.- Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system.- Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks.- Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment. Qualifications:- Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.- 3+ years of experience developing solutions in ML systems or the ML software stack.- Deep understanding of ML system architecture, performance analysis, and profiling tools to optimize complex workloads.- Experience with the end-to-end productionization of deep learning models, particularly large-scale online inference.- Proficient in Python with a track record of writing high-quality, well-structured, and well-tested "production-grade" code. • Open-minded and collaborative team player with the willingness to help others. Bonus/nice to have:- Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion perception models.- Experience working with large Vision-Language Models (VLMs)The US yearly salary range for this role is: $170,000 - $220,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionSenior AgileSec Analytics Platform Engineer lead Senior Profile The Senior AgileSec Analytics Platform Engineer leads the end-to-end onboarding and operationalization effort. This candidate brings deep platform experience, drives architectural decisions, and sets the standard for documentation and process repeatability across the engagement. Responsibilities Lead platform architecture review and integration design for AgileSec Analytics within the client environment. Establish repeatable deployment and configuration management frameworks, including automated upgrade and patching pipelines. Own the full documentation lifecycle: from initial runbook creation through peer review, version control, and handoff to the operations team. Serve as the primary technical point of contact across security, infrastructure, and operations stakeholders. Mentor mid-level team members and ensure knowledge transfer throughout the engagement. Define monitoring and alerting standards for platform health and user activity within AgileSec Analytics. Lead Cipher Insights network component configuration where applicable. Added Required Skills Integration & Connectivity 2–4 years of experience with API integrations, webhook/callback patterns, and secure credential handling. Ability to troubleshoot connectivity issues using logs, network tools, and platform diagnostics. Infrastructure Proficient Linux command-line user with scripting experience (Bash or Python); Kubernetes exposure is a strong plus. Working knowledge of configuration management concepts; experience with at least one deployment automation tool is beneficial. OpenSearch & Analytics Stack Working knowledge of OpenSearch or a comparable search/analytics stack (Elasticsearch, Splunk, etc.): indexing basics, dashboard creation, and query writing. Experience setting up or supporting analytics/observability platforms in an enterprise context. Documentation & Communication Demonstrated ability to write clear, structured procedural documentation for technical and non-technical audiences. Comfortable communicating across security, infrastructure, and operations teams; proactive in flagging blockers. Preferred Qualifications Direct exposure to the AgileSec Analytics platform or Keyfactor product suite. Familiarity with Cipher Insights network discovery concepts. Experience in environments with cryptographic or compliance requirements (awareness-level, not practitioner-level). More Required Skills Integration & Connectivity 5+ years of hands-on experience with API-based integrations, REST/webhook patterns, and secure credential management (secrets vaults, token rotation). Demonstrated ability to diagnose and resolve complex system-to-system connectivity issues in production environments. Infrastructure Strong Linux OS administration and/or Kubernetes cluster management experience, including scripting (Bash, Python, or similar) and error handling at scale. Familiarity with deployment automation tooling (Ansible, Helm, Terraform, or equivalent) for analytics platform lifecycle management. OpenSearch & Analytics Stack Advanced working knowledge of OpenSearch: index management, custom queries, dashboard development, and cluster performance tuning. Experience operating or standing up comparable analytics/observability platforms (e.g., Elasticsearch, Splunk, Datadog, Grafana stack). Documentation & Communication Track record of producing enterprise-grade operational runbooks and technical documentation consumed by both engineers and business users. Excellent verbal and written communication; comfortable leading cross-functional workshops and stakeholder reviews. Preferred Qualifications Direct experience with the AgileSec Analytics platform (any current offering). Familiarity with Cipher Insights and its network discovery component. Background working within cybersecurity or compliance-driven environments. Experience supporting or onboarding Keyfactor products is a plus. The skills we believe are most critical for a successful onboarding and for creating repeatable procedural documentation include: System-to-system integration experience: API-based integrations, webhook/callback patterns, secure credential handling, and connectivity troubleshooting · Linux OS or Kubernetes experience; command-line, scripting, or error handling · Working knowledge of OpenSearch (indexing, queries, dashboards), which underpins the AgileSec platform today · Experience standing up analytics or observability platforms and creating repeatable processes o Deliver operational runbooks covering both system administrator procedures (deployments, upgrades, patching, monitoring, alerting) and application user procedures (dashboard creation, user onboarding, recommended system configurations, etc.) o Familiarity with deployment automation and platform lifecycle management, including repeatable deployments, upgrades, and configuration management for analytics platforms o Ability to translate technical configuration into clear procedural documentation · Strong communication skills are to coordinate across security, infrastructure, and operations teams Direct AgileSec platform experience is a plus for all the current offerings on the platform, including the Cipher Insights which does have a networking component to it. That said, given the platform’s reliance on OpenSearch, a candidate with strong OpenSearch or similar analytics-stack experience would also be very valuable. As a point of clarification - resumes look very strong for PKI and KeyFactor but we need real implimentation experience of AgileSec. AgileSec is Keyfactor’s platform for discovering, managing, and rapidly adapting cryptography across an enterprise—so you’re not rewriting apps every time security standards change. I would really appreciate updates if any submitted candidate has this experience and if possible a resume that demonstrates this element. The other option we're competing with is a tried and true bench resource service from Keyfactor - so the AgileSec is in this case mandatory. https://www.keyfactor.com/products/cryptographic-discovery-inventory/?utm_source=chatgpt.com Hi there! The customer for this engagement is PNC (needs to be sensitive). We are working on an engagement that has a few service flavors included in it - SR/Consulting/Deployment - this role might be converted given the long term need of the customer so SR would be the play here. I realize that this is a niche hire, so remote is open and the bill rate is healthy. A person in Pitts, PA would be ideal but is in no way required. I';ve only opened this to a small number of partners given the pool we're searching is so small. Please let me know if you have any questions - this person needs to be very poliished and highly consultative. What this role is We are looking for a hands-on operator who owns certificate lifecycle, PKI, and machine identity at scale—and has been accountable for it in production environments. If you’ve ever had an application go down because of an expired certificate and made sure it never happened again, you’ll feel right at home here. What you’ll do • Own end-to-end certificate lifecycle management (issue, renew, revoke, rotate) across enterprise environments, • Build and maintain automated certificate workflows integrated into CI/CD pipelines, • Operate and scale PKI environments (internal CAs, intermediate chains, trust stores), • Integrate Keyfactor with:, • CI/CD tools (GitHub Actions, Jenkins, Azure DevOps), • Cloud platforms (AWS, Azure), • Infrastructure (F5, NGINX, IIS, Kubernetes), • Troubleshoot and resolve:, • TLS/SSL handshake failures, • Broken trust chains, • Certificate expiration incidents, • Partner directly with engineering teams in an agile model to deliver security as code What you must have (non-negotiable), • Proven experience managing PKI in production environments (not lab/theory), • Hands-on ownership of certificate lifecycle automation, • Strong understanding of:, • TLS handshake and encryption fundamentals, • Certificate chains (root/intermediate), • CRL vs OCSP, • Experience with Keyfactor or comparable PKI platforms, • Scripting experience (PowerShell or Python) used in real-world automation, • Experience supporting production incidents related to certificates or encryption What will set you apart • Experience integrating certificate management into CI/CD pipelines, • Exposure to cloud-native certificate services (AWS ACM, Azure Key Vault), • Experience in containerized environments (Kubernetes, ingress controllers), • Ability to translate security requirements into automated, scalable solutions How we evaluate candidates You will be asked to walk through real scenarios, including: • A certificate-related outage you handled end-to-end, • How you automated certificate provisioning and renewal, • How trust chains function and fail in production environments We are not looking for theoretical answers—we’re looking for operators who have done the work. What success looks like • Zero certificate-related outages, • Fully automated certificate lifecycle across environments, • Clear visibility and control over machine identities, • Engineering teams enabled—not blocked—by security RequirementsUpdate: Please see the note from the stakeholder regarding a recent well qualified submission and her reason for decline. As I noted in my May 6 message, this is not a cryptography- or PKI-heavy role. AgileSec Analytics onboarding should not require deep cryptographic expertise. The need here is for a systems and analytics-focused integrator who can stand up and operationalize the platform itself. While the profile you shared is strong overall, it is still framed around senior security and PKI experience rather than the system integration onboarding and operationalization skill set above. That is the gap I am trying to close. What I am looking for next are two options aligned the new framing that we supplied Update: The Mid-Level to senior level AgileSec Analytics Platform Engineer executes platform configuration and integration tasks under the direction of a senior lead or the client's internal cryptographic team. This candidate brings solid hands-on technical skills, a continuous learning mindset, and the ability to translate complex configurations into clear procedural documentation. Updte: Responsibilities Execute API and webhook integrations following approved design patterns, ensuring secure credential handling and stable connectivity. Administer Linux and/or Kubernetes environments for AgileSec platform services, applying configuration changes and managing routine upgrades. Build and maintain OpenSearch dashboards and queries aligned with reporting requirements defined by the crypto team. Author and iterate on operational runbooks for both system administrator and application-user audiences. Participate in cross-functional planning sessions and translate technical configuration steps into accessible documentation. Support monitoring and alerting configuration, escalating anomalies to the senior lead or client team.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. You will...- Design and execute on a research agenda for deep-learning based motion planning for self-driving.- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog. Qualifications:- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.- Proficient in reading and coding in Python.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Previous experience in self-driving technology. - Experience deploying ML/DL models to a production motion planning or related robotics stack.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCompany DescriptionGovini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.Job DescriptionWe are seeking an exceptional and experienced data platform engineer who shares our passion and obsession with quality. You'll be a core member of our product and engineering team dedicated to helping our clients replace time-consuming, manual processes to reach informed, real-time decisions about government markets, competitors, and agency relationships. We need a skilled and dedicated engineer to join our team to lead us in uncovering truth and meaning in data. You must be hands-on with a strong understanding of both data platforms and cloud infrastructure. You must also have strong interpersonal skills to work cross-functionally across internal teams as well as directly with end users and Govini platform SMEs.In order to do this job well, you must be a curious and eager problem solver with a hunger for delivering high-quality data solutions. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity and produce simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 10% travelScope of Responsibilities • Design and implement platform architecture enhancements to support scalability and reliability, • Design, build, maintain, and support data platform solutions to enable efficient data consumption across functional teams, including AI/ML, Data Science, and Software, • Evaluate and integrate emerging technologies to improve the data platform, • Collaborate with teams across the organization to understand business needs and translate them into data solutions, • Mentor junior engineers by providing code reviews, guidance, and technical leadership through promotion of engineering best practicesQualifications, • U.S. Citizenship is required, • Bachelor's degree in Computer Science, Mathematics or a related technical field Required Skills:, • 5+ years of experience in building and maintaining scalable data platforms or services, • Strong proficiency in Python and SQL, • Proven experience in architecting and implementing data pipeline frameworks, including orchestration, • Solid understanding of data security and governance best practices, • Hands-on with big data frameworks, such as Apache Spark, • Knowledge of cloud-native data lake/lakehouse architectures, • Demonstrated ability to collaborate with stakeholders to deliver data platform solutions that support AI, machine learning, data science, and web applications, • Strong analytical skills and attention to detail, • Ability to work independently in a fast-paced environment, • A passion for solving complex problems and building sustainable, scalable systemsDesired Skills:, • Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship, • Experience using Amazon Web Services, • Experience in or exposure to the nuances of a startup or other entrepreneurial environment, • Working knowledge of large (multiple terabytes) amounts of data, • We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you. We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you. Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai The Mapping team at Waabi develops the foundational spatial intelligence of our autonomous fleet. As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven mapping infrastructure. We are looking for a strong software generalist who thrives on variety, can easily pivot across different projects, and tackles complex distributed systems problems from data ingestion to real-time serving. You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We value original, high-impact ideas and rigorous experimental validation. You will...- Act as a versatile engineering powerhouse, quickly ramping up on new domains and fluidly transitioning between backend pipelines, API design, and vehicle-side serving.- Be part of a multidisciplinary team of Engineers and Research Scientists using AI-first approach to create high-definition (HD) maps at scale.- Architect and build the engineering foundations of our long-term mapping infrastructure.- Build robust, scalable pipelines to automatically create, validate, maintain, and visualize massive amounts of data.- Design and develop comprehensive metrics, observability, and anomaly detection across various systems.- Partner directly with downstream customers (e.g. Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive APIs.- Engineer real-time, high-availability, and low-latency systems for fleet of self-driving vehicles. Qualifications:- BS, MS, or PhD in Computer Scientist, Electrical Engineering, or related field, with a minimum for 5 years of industry experience.- Strong computer science fundamentals with an aptitude and willingness to quickly learn domain-specific concepts like 3D geometry and spatial data structures.- Prove ability to work across various programming languages, seamlessly bridging high-level Python development with robust systems-level engineering in C++ or Rust.- Solid experience in designing, developing, and deploying production-quality, fault-tolerant software at scale (moving well beyond prototypes/proofs of concept).- Hands-on experience building distributed systems on modern cloud platforms. Bonus/nice to have:- A true generalist mindset: you enjoy wearing multiple hats, diving into unfamiliar codebases, and picking up new technologies as the mission dictates. - Prior experience with autonomous vehicles, HD mapping, or robotics.- Familiarity with 3D geometry, geospatial systems, spatial databases, and tooling such as QGIS, GDAL, or PostGIS.- Familiarity with Machine Learning pipelines or integrating AI models into production engineering systems.- Experience with large-scale data processing systems and orchestration framework (e.g., Apache Spark, Airflow, Ray, Kafka).- Open-minded and collaborative team player with strong willingness to help others.The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Mission Summary: The Senior Safety Engineer supports the management of our safety case and the execution of our safety management systems for our autonomous robotaxi organization. This role is responsible for the hands-on application of safety assurance, functional safety, and regulatory compliance to ensure our technology meets industry standards. The position collaborates with cross-functional engineering and operations teams to ensure "safety is our bedrock" values are integrated into every technical requirement. What you'll be doing: • Execute safety case management tasks in alignment with internal development partners., • Support internal and external audits by maintaining safety documentation for 3rd party reviews., • Implement strategic programs and initiatives designed to improve and develop our safety culture., • Provide technical data and analysis for safety governance through risk assessment committees and safety review boards. Safety Case Management: • Support the development, maintenance, and continuous improvement of the company-wide Safety Case, including hazard identification, risk assessments, mitigations, and safety assurance arguments, • Collaborate with engineering, product, operations, and validation teams to ensure safety evidence is complete, traceable, and aligned with regulatory frameworks (e.g., NHTSA, ISO 26262, ISO 21448/SOTIF, UL 4600), • Lead cross-functional reviews of safety arguments and maintain governance structures for approval, change control, and release., • Compile status reports on safety gaps and risks for review by the Senior Organizational Safety Manager. Third-Party Auditing & Compliance: • Prepare technical evidence and documentation for external safety audits and certification bodies., • Participate in audit readiness programs to ensure consistent documentation and traceability across engineering teams., • Execute corrective action plans from findings to drive systemic improvements., • Stay current on evolving industry standards and regulatory expectations for AV safety. Organizational Safety Culture Development: • Assist in implementing a safety management system to strengthen proactive safety behaviors., • Collect and monitor behavioral safety metrics to identify opportunities for improvement. What we're looking for: • 5+ years relevant industry experience in technology development / safety critical systems, and 2+ years of experience in safety engineering for autonomous / robotics system in a leadership role, • Experience with safety-critical systems in automotive, aerospace, or autonomous vehicles, • Working knowledge of safety standards such as ISO 26262, ISO 21448 (SOTIF), or UL 4600, • Strong background in hazard analysis, system reliability, and safety case development., • Experience or familiarity with AI/ML-based perception or decision-making systems., • Familiarity with autonomous vehicle architectures, including perception, planning, and control., • Ability to communicate technical safety arguments to a variety of stakeholders., • Experience with machine learning safety challenges in autonomous vehicles., • Bachelor's or Master's degree in Systems Engineering, Electrical Engineering, Robotics, or a related field. Physical Demands: While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds. Working Environment: The work environment characteristics described here are representative of those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the team member is regularly exposed to the office environment, outside weather conditions, road conditions, and pedestrian traffic. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and airborne particles. The noise level in the environment is low to moderate. When traveling, the team member will be exposed to airports, airplanes, hotels and public transportation environments. This role is based in our Pittsburgh or Las Vegas office and requires in-office days each week. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$125,000—$167,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionSalary: 110000-120000 Data Science at DHS At Allegheny County Department of Human Services (DHS), our mission is to improve the welfare of the Countys most vulnerable residents. We operate, influence, and fund essential services worth over $1 billion that more than 200,000 residents depend on each year, including treatment for mental health and addiction, homeless housing, and child and older adult protective services. Over the past 20 years, we have built a national reputation for being on the cutting edge of state and local governments using analytics and technology to deliver more effective and efficient public services. While we know much more about the use of analytics and software than when we first started, we still have much to learn. Above all, we are convinced that there remain significant opportunities for data and technology to improve the lives of our clients, and for DHS to extend its leadership role in inspiring governments to make similar investments. Data Scientist Were looking for an engineering focused data scientist or software engineer/systems architect with a mix of experience or interest in machine learning (predictive modeling) or economics (applied microeconomics and causal inference) to come join our data science team. The Data Scientist will work to construct software for leveraging nationally recognized, integrated human services data and partner with world-class academics to help drive research that improves outcomes for our most vulnerable residents. Our bet is that great talent, even in time-limited commitments, can result in a step function improvement in the quality of work in local government. The data science team owns DHSs measurement problems and predictive models, with a team charter of: (1) creating feedback loops on our performance by learning about the efficacy of programs and interventions and informing DHSs funding commitments; (2) augmenting human judgement to improve operations and optimize constrained resources, such as case worker bandwidth; and (3) developing high quality reusable software that allows us to deliver inference at scale. The data scientists will collaborate closely with our 40-person Analytics team, Technology team, program managers, and senior leadership to help identify what works and why, iterate and experiment with new approaches to service delivery, improve human decision making, build better software, and convert analytics into automated, extensible products. Strong candidates for the role will be clear, organized thinkers about complicated empirical questions, have a bias toward simplicity over methodological complexity, and possess a sound grasp of the fundamentals in their field. With our nationally recognized integrated data and talented teammates to support empirical work, ideal candidates will be intellectually curious and fearless about tackling difficult, unsolved problems for the department. We are looking for someone who: • Has a core competency in python and abstract, hierarchical design as well as some experience with statistical and machine learning modeling., • Has a graduate degree or significant experience in computer science or related field., • Has a track record of developing high-quality, well-structured, and maintainable software applications, • Experience with applied research and/or industry experience in building machine learning or causal models to answer real-world problems., • Balances speed of delivery with upholding high standards on quality., • Has a desire to develop, test, and QC software to facilitate end-to-end applied research., • Maintains a flexible approach to problem solving, prioritizing impact over technical complexity., • Has knowledge of a statistical programming language such as Python, R, or Stata and familiarity with a programming language for querying structured data. Application • Resume and/or LinkedIn profile If youre concerned that you dont have all of the parts of a successful application, we still highly encourage you to apply. Data science is always a healthy mix of modeling and engineering, and we do not expect every candidate to be fully qualified across all subfields. If hired for a position, candidates would work for Allegheny County, Department of Human Services and be employed byCAI. DHS strives to be the kind of place where a diverse mix of talented people want to come to grow and do their best work. -From the organizations statement on Equity and Inclusion AN EQUAL OPPORTUNITY EMPLOYER - M/F/V/D

Job DescriptionMotional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn't just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options. The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year. We are seeking a highly skilled Software Engineer to play a critical role in evaluating and improving the performance of our autonomous vehicle (AV) technology. This engineer will be responsible for developing and implementing metrics and software tools, primarily using Python, to effectively measure, analyze, and report on the performance of our AV systems. Their work will directly contribute to accelerating the development of safe and reliable autonomous technologies by transforming complex AV data into actionable insights for the organization. What You'll Be Doing: • Design AV Performance Analysis Pipelines: Define, design, and implement key pipelines to extract on-road or simulated events and evaluate autonomous vehicle performance (e.g., lane change capability, oscillation/braking metrics, VRU emergence from occlusion)., • Develop Metrics Software and AI-Powered Tools: Leverage strong Python skills to develop frameworks, AI-powered tools, and systems for calculating, aggregating, and visualizing AV performance metrics from large datasets., • Collaborate Cross-Functionally: Work with systems, software, AI, controls, simulation, and validation teams to understand needs and improve systems like Perception, Prediction, and Planning., • Ensure Data Quality and Validation: Implement rigorous checks and validation processes to ensure the accuracy and integrity of data used for performance evaluation., • Document and Share Knowledge: Create clear documentation for metrics and analysis tools, and share best practices with the engineering team., • Advance Technical Expertise: Proactively evaluate and integrate new technologies and methodologies relevant to autonomous vehicles and software engineering. What We're Looking For: • 5+ years of software engineering experience and a Bachelor's degree in Computer Science or a related field; a Master's degree is a plus., • Expert-level proficiency in Python and a strong understanding of modern software development principles and best practices., • Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation and data analysis., • Proficient with Git and standard version control workflows., • Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts and results to diverse audiences (engineers, product managers, leadership)., • Proven ability to work both independently and effectively as part of a multidisciplinary team., • Strong attention to detail and a commitment to data quality, accuracy, and rigorous testing., • Comfortable working in a fast-paced, agile, continuous integration/continuous delivery (CI/CD) environment. Bonus Points (not required): • Experience working with autonomous vehicle sensor data (e.g., LiDAR, camera, radar)., • Familiarity with simulation environments and data generated from AV simulations., • Experience with data visualization tools (e.g., Looker) for presenting performance metrics., • Knowledge of statistical analysis and machine learning techniques relevant to performance evaluation.Success Metrics:, • Successful design and implementation of key autonomous vehicle performance metrics., • Improvement in the efficiency and effectiveness of AV performance evaluation processes., • Timely and accurate delivery of data and insights to AV development teams., • Contribution to the overall advancement and safety of our autonomous vehicle technology. This is a unique opportunity to make a meaningful impact at Motional by enhancing our data platform and accelerating development speed for our industry-leading autonomous vehicle metrics and capabilities ecosystem. We take pride in having some of the brightest and most dedicated talent in the world on our team. If you're innovative, driven, and eager to tackle challenges, we'd love to have you join us! Physical Demands: While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds. Travel Requirements (greater than 20%): Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business. Working Environment: The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$149,000—$198,500 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionCompany DescriptionGovini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science & Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.Job Description At Govini, the Data Science Manager, Forward Deployed, is responsible for managing the AI model development discipline and team, including AI roadmap development, AI/ML model development, evaluation, and designing models and AI systems for particular use cases for National Security customers. You will collaborate with Product, Sales, and Engineering in a cross-functional capacity to deliver high-quality, decision-grade models and product features to our customers. You will work with our customers directly to better understand their key challenges. You thrive under pressure and are eager to solve new challenges. You are passionate about recruiting and developing top data science talent. You are a technology and data nerd who strives to always deliver the best product to our customers. In order to do this job well, you will push the boundaries of machine learning, with a focus on delivering clear, direct value to our customers. You will always look for new ways to leverage models to drive new insights and customer value. You won't hesitate to identify problems and take the lead on finding the answers. You are a self-starter who leads by example. You are a creative, out-of-the-box thinker who shares our passion and obsession with problem-solving. As part of our team, you must have a strong understanding of the various fundamentals of data science and analysis, and machine learning model development and productionalization. You have a proven track record for implementation and excel at the successful implementation of AI models. This role is a full-time position located out of our office in Pittsburgh, PA or Arlington, VA office. This role may require up to 50% travel. Scope of Responsibilities • Lead and mentor a team of forward-deployed data scientists, AI engineers, and MLE engineers, guiding them from ideation to implementation, and fostering a collaborative and productive work environment., • Organize complex AI/ML/DS work for multiple clients, spanning science cases such as LLM/GenAI, reinforcement learning, decision science, capability simulation, document understanding, forecast models, and others, across areas like logistics, MRO, supply chains, and others., • Establish coding, testing, and AI coding best practices and standards for engineers, driving excellence in software development., • Oversee AI development for practical use cases in deployment by nurturing the AI team culture, defining AI/ML tool usage, and applying scientific methods., • Oversee the quality of scientists' deliverables, including model delivery, coding, evaluation, and testing, to maintain high standards of science and software., • Collaborate closely with client stakeholders, Govini's product, forward deployment, and engagement teams to translate business requirements into technical specifications., • Continuously seek innovation and process improvement opportunities, finding efficiencies in all assigned tasks to drive the team's success., • Work with AI platform teams to ensure generalization of AI cases built for particular clients into platform and product features., • Organize and lead processes for the science team, ensuring efficient project execution and alignment with business goals.Qualifications, • U.S. Citizenship is requiredRequired Skills:, • Bachelor's, Master's, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field, • Minimum 3 years of experience building and deploying ML or LLM-powered systems in production environments, • Minimum 2 years of experience leading or mentoring engineering teams in production environments, • Practical experience in building, developing, and productionizing machine learning systems, • Advanced software skills in Python, • Experience with common LLM algorithms and implementations, • Hands-on experience with AWS and cloud infrastructure, • A strong desire to learn and investigate new technologies, • Familiarity with Git source control management, • Ability to work collaboratively with little supervision, • A burning desire to work in a challenging fast-paced tech environment Desired Skills: • Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship, • Experience in or exposure to the nuances of a startup or other entrepreneurial environment, • Experience with Claude Code and GenAI coding best practices.We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you.Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

Job DescriptionAbout Motional: Motional is a public transit and autonomous vehicle pioneer, developing Level 4 driverless vehicles that are changing the way the world moves. At the heart of our mission is the Autonomy organization, where we solve some of the most complex engineering and artificial intelligence challenges of our generation. Mission Summary: Motional is seeking a visionary, technically deep Director of Behaviors to lead our machine learning-based Prediction and Planning teams. In this role, you will sit at the intersection of intent forecasting and ego-vehicle decision-making. You will be directly responsible for leading multiple engineering sub-teams, setting the technical roadmap for our next-generation behavior stack, and pioneering the shift toward state-of-the-art end-to-end models that execute joint prediction and planning. As a senior leader in the Autonomy organization, you will not only drive technical breakthroughs but will also scale and nurture a world-class AI organization in a sustainable, inclusive, and highly collaborative fashion. Core Responsibilities: • Strategic Leadership: Oversee and unify the machine learning-based Prediction and Motion Planning teams. Establish a clear, aggressive, yet sustainable technical roadmap that transitions our stack towards a unified (fully learnt) Large Driving Model performing joint prediction and planning., • Technical Direction: Stay at the absolute frontier of AI research and define the technical roadmap for developing state-of-the-art imitation learning (IL) and reinforcement learning (RL) approaches to advance end-to-end learnt planning. Guide the team in exploring and incorporating modern paradigms like Vision-Language-Action models (VLAs) to improve the vehicle's semantic understanding, reasoning, and zero-shot generalization capabilities in complex urban environments., • Organizational Growth: Lead, mentor, and scale multiple sub-teams of machine learning engineers and researchers. Implement sustainable engineering practices that prevent burnout, promote psychological safety, and ensure high technical velocity., • Publish: As part of this role, you will also be expected to publish stellar work in conferences like CVPR, ICCV, ECCV and Neurips., • Cross-Functional Collaboration: Partner closely with Perception, Infrastructure and Systems Engineering to ensure the Large Driving Model seamlessly integrates onto the vehicle platform and meets rigorous safety and real-time performance standards. Required Qualifications & Experience: • Proven Leadership: 5+ years of experience managing high-performing engineering teams, with at least 3+ years of experience managing multiple sub-teams within an autonomous systems, robotics, or advanced AI organization., • Sustainable Scaling: Demonstrated track record of growing an engineering organization sustainably—balancing technical debt, architectural scalability, and team well-being., • ML Behavior Expertise: Deep theoretical and practical proficiency in machine learning applied to robotics behaviors. Advanced expertise in Imitation Learning and Reinforcement Learning for decision-making. Strong understanding of the full lifecycle from research to vehicle deployment., • Unified Architectures: Proven experience guiding teams toward building integrated models (e.g., trajectory forecasting joint with ego-policy generation) rather than decoupled, sequential pipelines., • Modern AI Paradigms: Strong familiarity with multimodal foundational AI models, specifically Vision-Language-Action models (VLAs)., • Educational Background: M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related quantitative field with a heavy focus on Machine Learning. Preferred Qualifications: • Experience building and scaling up LLMs/VLMs/VLAs and successfully deploying to production., • A strong footprint in the AI/robotics research community (CVPR, ICCV, NeurIPS, ICRA, IROS publications)., • Experience building large-scale data pipelines and training infrastructure required to train large driving models. We encourage a hybrid schedule with in-office time at one of our locations in Boston or Pittsburgh to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$288,000—$396,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionCompany DescriptionGovini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.Job DescriptionWe are seeking an inquisitive data scientist to join our team and work with our various datasets to find connections, knowledge, and potential issues in order to help our government clients make more informed decisions. Your role on the Data Science team will be primarily focused on our large datasets, and you will design and implement scalable statistical systems based on your analysis. You will have the opportunity to expand and grow data-driven research across Govini, and lead new areas to apply advanced analytics to drive business results. As part of our team, you must be a data nerd with a strong understanding of the various fundamentals of data science and analysis and know how to bring data to life.In order to do this job well, you must be a highly organized problem-solver and possess excellent oral and written communication skills. You are independent, driven, and motivated to jump in and roll up your sleeves to get the job done. You lead by influence and motivation. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity. You're uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You're scrappy. We like scrappy. We need a creative, out-of-the-box thinker who shares our passion and obsession with quality. This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 25% travel.Scope of Responsibilities • Design experiments, test hypotheses, and build models for advanced data analysis and complex algorithms, • Apply advanced statistical and predictive modeling techniques to build, maintain, and improve multiple real-time decision systems, • Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of data industry best practices, • Model and frame business scenarios that are meaningful and which impact critical processes and decisions; transform, standardize, and integrate datasets for client use cases, • Convert custom, complex and manual client data analysis tasks into repeatable, configurable processes for consistent and scalable use within the Govini SaaS platform, • Optimize processes for maximum speed, performance, and accuracy; craft clean, testable, and maintainable code, • Partner with internal Govini business analysts and external client teams to seek out the best solutions regarding data-driven problem-solving, • Participate in end-to-end software development, on an agile team in a scrum process, collaborating closely with fellow software, machine learning, data, and QA engineersQualifications, • U.S. Citizenship is requiredRequired Skills:, • Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related field; Master's or PhD preferred, • Minimum 3 years of hands-on data science experience, • Minimum 3 years of experience deriving key insights and KPIs for external and internal customers, • Regular development experience in Python, • Prior hands-on experience working with data-driven analytics, • Proven ability to develop solutions to loosely defined business problems by leveraging pattern detection over large datasets, • Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms, • Experience using machine learning algorithms (e.g., gradient-boosted machines, neural networks), • Ability to work independently with little supervision, • Strong communication and interpersonal skills, • A burning desire to work in a challenging fast-paced environmentDesired Skills:, • Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship, • Experience in or exposure to the nuances of a startup or other entrepreneurial environment, • Experience working on agile/scrum teams, • Experience building datasets from common database tools using flavors of SQL, • Expertise with automation and streaming data, • Experience with major NLP frameworks (spaCy, fasttext, BERT)Familiarity with big data frameworks (e.g., HDFS, Spark) and AWS, • Familiarity with Git source control management, • Experience working in a product organization, • Experience analyzing financial, supply chain/logistics, or intellectual property dataWe firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you.Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary team of research scientists and engineers to invent the next generation of models and algorithms that power Waabi World. Your work will define the scenarios that push our self-driving system to its limits, generate the training signal that makes them better, and form a core pillar of our scientific safety case to put them on the road. You will...- Own and pursue a research agenda to develop realistic and controllable simulation agents.- Advance the state-of-the-art in imitation learning, reinforcement learning, generative models, foundation models, planning and search, and other related areas for simulation agents.- Collaborate with our simulation, autonomy, and safety teams to define high-impact research problems, ship solutions into production, and drive progress towards Waabi’s milestones.- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.- Publish high-impact research at top-tier conferences in machine learning or robotics. Qualifications:- Masters/PhD in machine learning, computer science, engineering, or a related field.- Strong background in imitation learning and/or reinforcement learning.- Publications in top-tier conferences or journals related to machine learning or robotics.- Proficiency with modern ML frameworks such as PyTorch, TensorFlow, or Jax. Bonus:- Experience in self-driving, traffic simulation, or a related field.- Proven ability to take research from prototype to production systems.- Strong software engineering skills, including experience with large-scale training or simulation. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai As a Senior Perception Engineer, you will be at the forefront of advancing and deploying perception algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to perceive the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology. You will...- Prototype, evaluate, and iterate on perception algorithms, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving technology. This includes working on 3D detection and tracking of traffic agents as well as semantic understanding of various traffic scenes.- Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving.- Support productizing and deploying perception algorithms to our self-driving vehicles, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.- Contribute to the publication of research findings in conferences as well as Waabi's blog. Qualifications:- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.- Experience working on applied research projects and shipping machine learning features/models into production.- Experience driving projects on 3D detection, tracking of traffic agents and/or semantic understanding of various traffic scenes.- Passion for taking research ideas and turning them into practical solutions for real-world applications.- Solid understanding of computing fundamentals, including code efficiency.- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.- Comfortable working with large datasets for machine learning applications.- Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques.- Open-minded and collaborative team player with the willingness to help others.- Experience and excitement in supporting a fast-paced high-growth environment.- Passionate about being part of an organization solving self-driving technologies. Bonus/nice to have:- Previous experience in multimodal sensor fusion. - Previous experience in self-driving technology or related fields.- Publications in top-tier conferences or journals related to computer vision, machine learning, or robotics.- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research engineer for Learnable Planner you will support integration of new AI technologies into our autonomy/planner stack enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. You will...- Integrate cutting-edge ML models in production planning stack from development to validation, deployment, and monitoring- Develop necessary interfaces and pipelines in simulation for testing prototype or production planning models- Work closely with motion planning sub-teams and research scientists to improve our planner architecture and develop rich and novel representations that can facilitate end-to-end solutions- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.- Contribute to the publication of research findings in conferences as well as Waabi's blog. Qualifications:- MS/PhD in machine learning, computer science, engineering, or a related field. Exceptional Bachelor’s students will also be considered.- Experience in ML-based or classical techniques for planning/decision making (e.g., imitation and reinforcement learning, optimization-based approaches, search methods, probabilistic reasoning).- Passion for taking research ideas and turning them into practical solutions for real-world applications.- Open-minded and collaborative team player with willingness to help others.- Solid understanding of computing fundamentals, including code efficiency.- Experience in deep learning frameworks such as PyTorch.- Proficiency in Python, Rust, C++ and/or CUDA. Bonus/nice to have:- Experience deploying ML/DL models to a production motion planning or related robotics stack.- Experience in iterating on a model including evaluation, introspection and fine-tuning.- Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.- Comfortable with model compilation and exporting, lower level concepts like TensorRT, CUDA kernels.The US yearly salary range for this role is: $159,000 - $296,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Motional is seeking a technical expert for its Planning team to define motion planning and control systems for secure, effective, and comfortable fleet operation in complex environments. This role requires expertise in cutting-edge research, advanced algorithm development, and robust software building to generate safe, comfortable, and intuitive routes and motions. We are looking for a robotics and software development enthusiast eager to contribute to production-ready autonomous vehicles. If you possess a passion for autonomous driving, thrive on solving real-world challenges, and aspire to make a significant impact in a rapidly evolving field, we encourage your application.Role responsibilities: • Lead the research and development of novel algorithms and sub-systems for motion planning in autonomous driving, thereby expanding the Operational Design Domain. This includes, but is not limited to, advanced search-based and sophisticated geometry-based methods, as well as decision-making under uncertainty with a strong emphasis on probabilistic approaches, • Lead cross-functional projects to define new or upgrade existing interfaces to solve problems, • Monitor overall system performance to identify areas for improvement and develop technical strategies to address deficiencies, • Guide cross-functional project teams to provide comprehensive solutions and demonstrate the ability to think beyond the confines of the planning system., • Architect and integrate complex combinations of motion planning and prediction algorithms, driving their evaluation and refinement for real-world deployment., • Design and build a robust, scalable, and high-performance codebase that facilitates rapid exploration, prototyping, and rigorous evaluation of innovative motion planning approaches and algorithms., • Drive technical collaboration and interface seamlessly with perception and prediction components upstream and trajectory optimization, tracking and control components downstream, ensuring end-to-end system performance., • Leverage your deep software development and research expertise to teach others better software practices and principles, fostering a culture of technical excellence., • Guide and mentor junior and senior team members, cultivating a culture of product-focused engineering, rigorous research, and advanced development.What we're looking for:, • PhD preferred in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or a related field; or a Master's degree with 7+ years of experience in the robotics (preferably AV industry)., • 10+ years of research experience in robotics / motion planning, with a proven track record of contributing to state-of-the-art solutions and leading significant projects., • 5+ years of C++ software development, with an emphasis on developing high-performance and reliable systems., • Past experience owning and leading technical development on complex features from problem formulation through research, implementation, and deployment in a production environment, demonstrating significant impact., • Thirst for knowledge, continuous innovation, and a drive to push the boundaries of autonomous driving technology, acting as a technical thought leader.Skills appreciated, • Experience with probabilistic models, including but not limited to Gaussian mixture models, Hidden Markov Models, and Particle Filters., • Experience with machine learning techniques (such as Bayesian modeling and inference techniques) for decision making under uncertainty., • Experience with the Bazel build framework The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$240,000—$330,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionCompany DescriptionGovini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.Job DescriptionWe are seeking a Natural Language Processing expert to join our team and help us build cutting-edge machine learning technology that will replace complex, time-consuming, manual processes with automation and intelligence that helps Govini end-users make scientific and analytical decisions. We're looking for world-class talent to join our team where you will have the opportunity to help develop a wide range of solutions that transform natural language data into useful features for classification algorithms, as well as implement the latest technology to improve user search functionality. In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed models and solving problems in an ambiguous space. You share our intolerance of mediocrity. You're uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You're scrappy. We like scrappy. This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 10% travelScope of Responsibilities • Inform and implement the design and development of NLP applications to enhance the intelligence and efficiency of our data analytics software-as-a-service platform, • Review, verify, and aggregate the most appropriate annotated datasets for the best-supervised learning methods, • Ability to work with taxonomy experts to create and validate dataset annotation, • Use well-formed and effective text representation to change and adapt natural language documents into user-friendly features, • implement the latest technology to improve user search functionality as well as integrate state of the art LLM models into our Ark.ai platform to enhance user experience., • Develop new algorithms and modeling techniques and conduct sound experiments to verify model results and integrate models into the live production system, • Establish meaningful criteria for evaluating algorithm performance and suitabilityImplement working, scalable, production-ready models and code, • Keep up to date with Machine Learning best practices and evolving open-source frameworks, • Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks, • Collaborate closely with fellow taxonomists, software engineers, data scientists, data engineers, and QA engineersQualifications, • U.S. Citizenship is required, • Advanced degree, or bachelor's with at least 3 years of experience, in Data Science, Machine Learning or a related fieldRequired Skills:, • Minimum 3 years experience with hands-on development of NLP models, • In-depth understanding of NLP methods for text representation, semantic extraction techniques, data structures, and modeling, • Practical experience in building, developing, and productionizing both supervised and unsupervised machine learning models, • Advanced software skills in Python, • Advanced ability in forming SQL queries, • A strong desire to learn, investigate, and implement cutting-edge technologies, • Ability to work collaboratively throughout the design process. Desired Skills: • Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship, • Experience in or exposure to the nuances of a startup or other entrepreneurial environment, • Experience in deploying ML models in Kubernetes environments, • Experience developing custom training sets for large language models, • Experience productionizing transformer-based modelsWe firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you.Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

Job Description Motional is seeking a distinguished Machine Learning Engineer to join its Autonomy team in Behaviors. As a member of our team you will develop key features for our autonomous driving platform. In this role, you will apply machine learning to a mix of prediction, planning, and control problems. The candidate is required to have hands-on experience and deep knowledge in machine learning. Understanding of deep neural networks, autonomous vehicles, and domain adaptation is highly desirable. You should have strong research, SW development, communication, interpersonal, and analytical skills. What you'll be doing: • Researching, implementing, and evaluating deep-learning-based methods for prediction and planning for Motional's Autonomous Vehicle products., • Leading, Designing, running, and analyzing experiments and testing to evaluate the efficiency of our solutions on real-world data., • Partnering with system software engineering specialists to ship industrial strength ML models., • Communicating and collaborating with multi-functional teams. What We're Looking For: • BS/MS/PhD in computer science, electrical engineering, mechanical engineering, applied math, or related fields (or equivalent experience), • 15+ years of proven experience building ML systems for autonomous vehicles or similar robotics applications, • Deep understanding of large language models (LLM) and transformers, • Hands on experience building large scale production ML systems and deploying them at scale, • Excellent leadership and track record for innovation to help us build the next generation of our ML based planning solutions, • Experience with deep neural network (DNN) training, inference and optimization in leading frameworks (Pytorch, Tensorflow, TensorRT, etc.)., • Excellent understanding of the mathematical foundations of machine learning and deep learning. Bonus Points: • Prior experience as a ML planning lead, • Proven publication record in ML for planning, vision, or related fields, • Prior experience building and deploying vision language action or chain of thought models The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$271,000—$373,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description With a strategy centered on people and sustainability, Braskem is engaged in contributing to the value chain to strengthen the Circular Economy. Braskem's 9,000 team members dedicate themselves every day to improving people's lives through sustainable solutions in chemicals and plastics. With its corporate DNA rooted in innovation, Braskem offers a comprehensive portfolio of plastic resins and chemical products for diverse industries, such as food packaging, construction, manufacturing, automotive, agribusiness, health and hygiene, and more. With 40 industrial units in Brazil, the United States, Mexico, and Germany, Braskem exports its products to clients in over 70 countries. Braskem America is an indirect wholly owned subsidiary of Braskem S.A. headquartered in Philadelphia. The company is the leading producer of polypropylene in the United States, with six production plants located in Texas, Pennsylvania, and West Virginia, as well as an Innovation and Technology Center in Pittsburgh and a New Renewable Innovation Center in Lexington, which focuses on leveraging groundbreaking developments in biotechnology and chemical catalysis. For more information, visit www.braskem.com/usa. Department: Innovation & Technology Location: Pittsburgh, PA Travel Involved: 5-10% Job Type: Full Time, On Site Description: We are seeking a highly skilled NMR Spectroscopy Researcher to run advanced nuclear magnetic resonance (NMR) analyses on polymers, catalysts, and bioproducts, supporting Innovation and Technology initiatives globally. This role combines deep technical expertise with modern data-driven approaches to deliver impactful insights for product development and process optimization. Key Responsibilities: • Design, develop, and implement cutting-edge NMR methodologies (solution and solid-state) for polymeric materials, catalysts, and bioproducts., • Operate and maintain high-field and low-field NMR instruments, including MAS probes and CryoProbes, ensuring optimal performance and calibration., • Apply advanced data analysis techniques, including chemometrics and multivariate analysis, to interpret complex spectra and extract actionable insights., • Collaborate with multidisciplinary teams to support R&D projects, troubleshoot challenges, and meet critical milestones., • Drive automation and digitalization initiatives within the laboratory to enhance efficiency and reproducibility., • Ensure compliance with safety standards and best practices for chemical handling, storage, and waste disposal., • Contribute to scientific knowledge through publications, patents, and participation in technical conferences. Requirements: • Education: Ph.D. in Chemistry, Physics, Materials Science, or related field., • Experience: Minimum 5 years of hands-on experience in NMR spectroscopy, including solution and solid-state applications; experience with relaxometry and low-field NMR is a plus., • Proficiency in modern data analytics tools (MNova, Python, MATLAB, or similar) for spectral interpretation and automation., • Strong troubleshooting skills and ability to innovate in experimental design., • Excellent communication skills for technical reporting and cross-functional collaboration., • Knowledge of laboratory safety protocols and regulatory compliance.Preferred Skills and Experience:, • Familiarity with machine learning applications in spectroscopy and predictive modeling., • Experience integrating NMR data with complementary techniques (e.g., FTIR, DSC, GPC)., • Ability to manage multiple projects in a fast-paced, global environment., • Demonstrated leadership in mentoring junior researchers and fostering a culture of continuous improvement. What we offer At Braskem, we offer more than just a competitive pay package. Our total rewards package includes a wide range of benefits you need for every stage of your life. Our benefits include: • Medical, Dental, and Vision Benefits, • Retirement Benefits, • Maternity and Paternity Leave, • Life Insurance, • Short- and Long-Term Disability Insurance, • Teladoc, • A wide range of voluntary benefits like Pet Insurance, Legal and ID Theft Insurance, • Flexible work schedules like 9/80 schedules for eligible team members Depending on qualifications, the successful candidate may be offered a position at a more appropriate level and/or ladder. Candidates must be currently eligible to work in the United States without the need for any type of sponsorship now or in the future. Braskem is committed to equal employment opportunity and providing reasonable accommodations to qualified candidates and employees according to applicable law. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, military and veteran status, gender identity or expression, genetic information, or any other characteristic protected by federal, state, or local law. If you require reasonable accommodation as part of the application process, please contact the Talent Acquisition team.

Job Description Company Description Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. Job Description We are seeking an experienced Lead AI Engineer to lead our Agentic AI team as we scale our agentic offerings across all levels of the US government. Over the past year, we have seen the rapid adoption of our agent, Ace. We expect Ace to be handling much more complex tasks and workflows end-to-end and/or in cooperation with a human user as time goes on. The team is striving to make Ace an even more effective agent, focusing on planning, reliable execution over longer time horizon tasks, scaled tool use, Ace Skills, memory, and inter-agent coordination. In order to do this job well, we are looking for someone who can demonstrate a project built on LLMs that showcases your skill at getting them to do complex tasks. • Experience leading agentic system development from ideation through production, including technical design, architecture decisions, and day-to-day leadership of Data Scientists and Machine Learning Engineers, • Experience integrating and working with LLMs, with a strong understanding of their capabilities and limitations, • Experience integrating and working with agent frameworks like Claude Agent SDK or OpenAI Agent SDK, • Experience building observability, evaluation, and feedback loops for agent behavior (telemetry, prompt evaluation, regression testing, and reliability metrics)., • Experience working in highly ambiguous environments, and operating with urgency, • Lead Agile ceremonies and technical planning for the Agentic AI team Strong Candidates have: • Experience designing and deploying complex agentic systems using LLMs, • Hands-on work with multi-agent coordination, routing, and tool orchestration, • Passion for building autonomous and semi-autonomous systems that solve real customer problems This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 10% travel Scope of Responsibilities • Designs and builds multi-agent systems with tool use, memory, routing, and planning, • Develops Agent Skills and tools as modular, composable services that interact with backend systems, models, and data processing, • Assist with automated evaluation of agents, skills, and prompts across the entire product lifecycle, • Work with our Product and Implementation organizations to find solutions to our most vexing challenges applying agents to our customer problems Qualifications • U.S. Citizenship is required Required Skills: • Bachelor's, Master's, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field, • Minimum 3 years of experience building and deploying ML or LLM-powered systems in production environments, • Minimum 2 years of experience leading or mentoring engineering teams in production environments, • Practical experience in building, developing, and productionizing machine learning systems, • Advanced software skills in Python, • Experience with common LLM algorithms and implementations, • Hands-on experience with AWS and cloud infrastructure, • A strong desire to learn and investigate new technologies, • Familiarity with Git source control management, • Ability to work collaboratively with little supervision, • A burning desire to work in a challenging fast-paced tech environment Desired Skills: • Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship, • Experience in or exposure to the nuances of a startup or other entrepreneurial environment, • Experience with Claude Code and GenAI coding best practices. We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you. Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

Job Description RFP - Scale Shop Training Content Creation Project Overview Innovation Works and the Robotics Factory Scale Program are seeking an experienced content writer to develop training course materials for the Scale Shop. These materials will cover general principles, safety protocols, and basic operation for specific machines and processes. Course content will be formatted such that it can be adapted for a Learning Management System (LMS) with modular lessons and associated review quizzes. Company Background Innovation Works is one of the nation’s most active seed-stage investors and serves as a leading innovation and startup engine for Southwestern Pennsylvania. Through its Robotics Factory programs, Innovation Works supports regional hardware and robotics companies with educational programming, technical consulting, connections to local manufacturers, and access to the Scale Shop—its in-house professional prototyping facility. The Scale Shop enables employees of member companies to receive training on a wide range of advanced prototyping equipment while also learning best practices in engineering design and fabrication. Link to Scale Residency program info/ equipment: https://roboticsfactory.org/scale-program Scale Shop Equipment Inventory: https://airtable.com/appuVtnWgRfAIJl2v/shr9QFrcOOtOdbals Project Background and Goals The Scale Shop serves a diverse user base with varying levels of experience, including manufacturing professionals, engineers, entrepreneurs, and college interns. A small team of Innovation Works technical staff supports these users by managing shop operations, providing direct fabrication assistance, offering engineering and technical guidance, and, perhaps most importantly, empowering users to effectively leverage the shop resources and equipment. Currently, users gain access to equipment by completing a 1.5-hour general safety orientation, followed by a 1-2 hour, machine-specific training session covering safety, foundational concepts, and operation. Content development, training delivery, and oversight of proper equipment use have largely been the responsibility of a single technical staff member. This resource constraint has made it challenging to ensure consistency and effectiveness in training, expand beyond basic instruction, and provide users with opportunities to revisit material as needed. To address these challenges, Innovation Works is developing standardized training content that can be delivered online. This approach will allow users to engage with material at their own pace while allowing IW staff to be more focused and efficient during in-person training sessions. Project Scope and Deliverables For the first phase of this project, we are looking to create material for 5-10 courses, covering our most-used machines and processes. We estimate the content writer will devote a few hours to familiarize themselves with the project as a whole and then approximately 15-25 hours of work for each course, depending on process complexity. After completion of the first phase deliverables, a second phase will be put out for bid for an additional 10-15 courses. Content Priorities For Phase 1, the contractor will be expected to develop up to 10 initial pieces of training content. The preliminary list of priority topics includes: • CO2 Laser Safety and Basic Use (Epilog Fusion Pro36), • Manual Mill Safety and Basic Use (Sharp LMV 49), • Formlabs Form 3/4 Safety and Basic Use, • Manual Lathe Safety and Basic Use (Sharp Lathe 1640LV), • FDM Printing Basics, • Electronics Lab Basic Intro, • Compact CNC Mill (Haas Super MiniMill), • Machining Fundamentals, • Fusion 360 CAM, • Shop Sabre Safety and Basic Use (ShopSabre IS408) This list is intended to establish the initial scope of work for Phase 1 and may be refined at contract kickoff based on priorities, sequencing, and contractor capacity. A full list of our equipment and additional specifications can be found on the Robotics Factory website: https://www.roboticsfactory.org/equipment Process and Deliverables for each course • The content writer will start from a template and a pre-existing example training course, and work with IW Technical staff to create a content outline for each course, • The content writer will write course content using interviews with IW technical staff and external references, • The content writer will create the final written course content in an editable format after at least one revision, • Content writer will source or create supporting pictures/diagrams with appropriate usage rights as needed, • The content writer will create a review quiz with questions and an answer key in an editable format, • The content writer will elicit feedback from IW Technical Staff and implement edits, • All work products created under the contract become the property of Innovation Works, including written content, quizzes, diagrams, images created by the contractor, and any optional video-related materials, unless otherwise agreed Optional Scope Addition Some course content may benefit from video demonstrations rather than purely written/static content. We would be open to expanding the project scope to include assistance in creating video course content, such as script writing, video recording, and editing. The scope would be negotiated and agreed upon with the Manufacturing Project Manager. Project Timeline The anticipated period of performance for this phase will begin in April 2026 and conclude no later than August 14, 2026. During this period, the contractor will be expected to deliver the agreed-upon 5-10 pieces of content on a regular production schedule established at the start of the contract. Each deliverable will include at least one feedback and review cycle before final submission. Delivery intervals and milestone expectations will be finalized during project kickoff, and progress will be tracked and managed through an Asana project management tool. Desired Contractor Qualifications • Demonstrating experience with creating training/ course materials for adult professionals, • Familiarity with relevant topics such as prototyping/manufacturing equipment, STEM education, workshop/ makerspace environments, preferred, • Experience with content creation for online asynchronous courses/ LMS preferred but not requiredApplication Instructions, • Name, email, phone, and website (if applicable), • Years of experience, relevant past projects/ skills, and professional references, • Relevant examples of past work, • Quote for full project scope as flat-rate or hourly rate + total hour estimate, • If the applicant would like to assist in the creation of video content, please provide an estimate for additional hours/ rate and relevant work examples, • Confirmation of availability during the project timelineSubmission Deadline and Selection Timing Submit proposals to IWManufacturingTeam@innovationworks.org. Proposals are due by April 29, 2026. Selection will be made by May 1, 2026, with a target start date no later than May 8, 2026. Proposals Evaluation Criteria • relevant training/content development experience, • familiarity with technical subject matter, • quality of work samples, • proposed cost, • availability and ability to meet the timeline Innovation Works provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Powered by JazzHR hxopWdpWwo

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai At Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to our success is the ability to monitor and report on the performance of our software, platform, and fleet with rigor and reliability. We are looking for a highly experienced Applied Data Scientist to play a leading role in shaping the methodologies underlying our evaluation ecosystem. This is a senior technical role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will help co-design and build the rigorous frameworks that validate the Waabi Driver across Waabi World (Simulation), Track, and Public Road testing. You will...- Design scalable production frameworks for autonomy evaluation. You will apply statistically rigorous methodologies to challenges such as sampling evaluation sets to ensure comprehensive Operational Design Domain (ODD) coverage.- Design and implement methodologies to systematically measure and monitor the performance, fidelity, and reliability of the evaluation infrastructure itself, ensuring our testing ecosystem remains a highly trusted source of truth.- Directly prototype complex deep-dive analyses, write production-quality evaluation code, and build the sophisticated tools and dashboards that synthesize our progress for technical and executive leadership.- Act as a key partner to Safety and Autonomy teams, ensuring that our automated reporting faithfully captures the technical intent and requirements of our system.- Develop advanced analytical models to help correlate closed-loop simulation performance with real-world driving outcomes, quantifying the fidelity and predictive power of our evaluation metrics.- Serve as a subject matter expert and collaborative partner, elevating the analytical bar of the team through code reviews, methodological guidance, and helping to define best practices for end-to-end data science workflows. Qualifications:- Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects.- MS/PhD or equivalent experience in a highly quantitative field such as Statistics, Mathematics, Computer Science, Physics, or Robotics.- Strong command of Python/SQL for data analysis and prototyping- Expertise in statistical methods, including hypothesis testing, A/B testing on complex systems, sampling methodologies, and statistical modeling.- Experience working with internal cross-functional partners/stakeholders- Open-minded and collaborative team player with willingness to help others- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.Bonus/nice to have:- Experience in the Autonomous Vehicle or Robotics industry- Familiarity with Systems Verification and Validation- Experience with large scale databases and analytics - Experience with workflow automation/orchestration frameworksThe US yearly salary range for this role is: $146,000 - $280,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Mission Summary: Motional's onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional's next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional's current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers. What You'll Be Doing: • Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles., • Design test harnesses for embedded software components and full systems, • Provide technical mentorship to engineers., • Proactively work with cross-functional engineering teams to solve complex and interesting problems. What We're Looking For: • Experience with creating detailed requirements from use cases., • Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution., • Experience writing software for embedded platforms in C and C++., • Experience with Test-Driven Development (TDD)., • Experience working on embedded Linux / RTOSs., • Experience working with networks (Ethernet, CAN etc.) and the common networking protocols., • Experience with debugging on embedded platforms., • Experience writing software in Python and experience doing automation with shell scripting., • Experience working with ARM Cortex MCUs or Microprocessors. Bonus Points (not required): • Experience working with large data pipelines, and platforms that require deterministic execution., • Experience using inter-system communication protocols such as I2C and SPI, • Experience deploying Machine Learning models., • Experience working with GPUs., • Experience working directly with the Linux kernel or Device Drivers., • Experience with Simulation and Code Generation, and knowing when their use is appropriate., • Experience working with Bazel., • Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs., • Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$149,000—$198,500 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionSalary: $115,000-$125000 Data Science at DHS At Allegheny County Department of Human Services (DHS), our mission is to improve the welfare of the Countys most vulnerable residents. We operate, influence, and fund essential services worth over $1 billion that more than 200,000 residents depend on each year, including treatment for mental health and addiction, homeless housing, and child and older adult protective services. Over the past 20 years, we have built a national reputation for being on the cutting edge of state and local governments using analytics and technology to deliver more effective and efficient public services. While we know much more about the use of analytics and software than when we first started, we still have much to learn. Above all, we are convinced that there remain significant opportunities for data and technology to improve the lives of our clients, and for DHS to extend its leadership role in inspiring governments to make similar investments. Data Science Manager Were looking for a manager with a mix of experience or interest in machine learning (predictive modeling) or economics (applied microeconomics and causal inference) to join our data science team as a Data Science Manager. The Data Science Manager will lead and support a small team of data scientists, work to construct software for leveraging nationally recognized, integrated human services data, and partner with world-class academics to help drive research that improves outcomes for our most vulnerable residents. Our bet is that great talent, even in time-limited commitments, can result in a step function improvement in the quality of work in local government. The data science team owns DHSs measurement problems and predictive models, with a team charter of: (1) creating feedback loops on our performance by learning about the efficacy of programs and interventions and informing DHSs funding commitments; (2) augmenting human judgement to improve operations and optimize constrained resources, such as case worker bandwidth; and (3) developing high quality reusable software that allows us to deliver inference at scale. The Data Science Manager will collaborate closely with our 40-person Analytics team, Technology team, program managers, and senior leadership to help identify what works and why, iterate and experiment with new approaches to service delivery, improve human decision making, build better software, and convert analytics into automated, extensible products. Strong candidates for the role will be clear, organized thinkers about complicated empirical questions, have a bias toward simplicity over methodological complexity, and possess a sound grasp of the fundamentals in their field. With our nationally recognized integrated data and talented teammates to support empirical work, ideal candidates will be intellectually curious and fearless about tackling difficult, unsolved problems for the department. Candidates should also have experience mentoring or guiding technical staff, supporting project execution, and contributing to team-level standards and practices. We are looking for someone who: • Has a core competency in python and abstract, hierarchical design as well as some experience with statistical and machine learning modeling. Has a graduate degree or significant experience in computer science or related field. Has a track record of developing high-quality, well-structured, and maintainable software applications. Experience with applied research and/or industry experience in building machine learning or causal models to answer real-world problems. Balances speed of delivery with upholding high standards on quality. Has a desire to develop, test, and QC software to facilitate end-to-end applied research. Maintains a flexible approach to problem solving, prioritizing impact over technical complexity. Has knowledge of a statistical programming language such as Python, R, or Stata and familiarity with a programming language for querying structured data. Has experience providing technical guidance or mentorship, managing team workload, or coordinating cross-functional work. Application Resume and/or LinkedIn profile If youre concerned that you dont have all of the parts of a successful application, we still highly encourage you to apply. Data science is always a healthy mix of modeling and engineering, and we do not expect every candidate to be fully qualified across all subfields. If hired for a position, candidates would work for Allegheny County, Department of Human Services and be employed byCAI. DHS strives to be the kind of place where a diverse mix of talented people want to come to grow and do their best work. -From the organizations statement on Equity and Inclusion AN EQUAL OPPORTUNITY EMPLOYER - M/F/V/D

Job Description Mission Summary: At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery. As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation. What You'll Do: • Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint., • Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable., • Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions., • Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components., • Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence., • Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment. What We're Looking For: • BS in Computer Science, Machine Learning, or related field, or equivalent professional experience., • 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment., • Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models., • Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning., • Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX)., • Strong software engineering fundamentals: testing, CI/CD, containerization, and system design., • Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference., • Demonstrated ability to ship production-grade ML systems and mentor team members., • Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers Bonus Points (Nice-to-Haves): • MS/PhD in Computer Science, Machine Learning, or related field., • Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning., • Background in autonomous driving, robotics, or real-time decision-making systems., • Familiarity with multimodal learning, sensor fusion, or embodied AI., • Experience building active learning loops, using the model to find the data that breaks the model., • Experience with ML-based data mining, active learning, or contrastive learning., • Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms., • Publications or open-source contributions in RL, distillation, or efficient ML. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$172,000—$229,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionEnterprise Data Manager Enterprise Data Manager Position Overview We are seeking an experienced Enterprise Data Manager to lead the company's enterprise data strategy, drive data quality and governance, and enable business insights across cloud and ERP environments. This role is responsible for architecting and operating data warehousing and data integration solutions, delivering successful data migrations and ERP data management (including SAP S/4HANA), and partnering with business and IT stakeholders to ensure data is trusted, accessible, and secure. The ideal candidate combines hands-on technical experience (Azure, data integration, data warehousing) with strong leadership and governance capabilities. Key Responsibilities • Define and execute the enterprise data strategy, policies, and roadmaps aligned with business objectives and regulatory requirements., • Lead design, implementation, and operation of data warehousing and data integration solutions across cloud (Azure) and on-premise systems., • Own ERP data management activities, including SAP S/4HANA data models, master data management, and extraction/transformation workflows for ERP-to-analytics integration., • Plan and deliver complex data migrations, consolidations, and data mining initiatives, ensuring data integrity, lineage, and minimal business disruption., • Establish and run data quality, metadata management, and master data governance processes; operationalize tools and rules to monitor and remediate data issues., • Partner with analytics, BI, and engineering teams to ensure data is accessible for reporting, advanced analytics, and machine learning use cases., • Manage vendor relationships and evaluate data management platforms and tools (e.g., Ataccama, Fabric) to support governance, integration, and quality objectives., • Build and lead a high-performing data management team; provide coaching, resource planning, and cross-functional leadership to meet delivery targets., • Define and track KPIs for data quality, data availability, and platform performance; communicate status and risks to senior stakeholders., • Ensure data security, privacy, and compliance requirements are embedded in data architecture and processes., • Drive continuous improvement and modernization of data platforms, including adoption of cloud-native patterns and automation for repeatable delivery. Qualifications • Bachelors or Masters degree in Computer Science, Information Systems, Data Science, or a related field., • 8+ years of progressive experience in data management, with demonstrable leadership in enterprise data programs and teams., • Proven hands-on experience with data warehousing concepts and technologies, data integration/ETL design, and large-scale data pipelines., • Strong experience with Azure data services (Azure Data Factory, Synapse, Data Lake, Databricks) and cloud-native data architectures., • Experience managing ERP data (SAP S/4HANA) and integrating ERP systems with analytics and data warehouses., • Solid understanding of data governance, master data management, metadata, lineage, and data quality best practices and tools., • Experience with migrations, data mining, and analytics enablement for business stakeholders., • Excellent stakeholder management, communication, and project leadership skills with a track record of delivering cross-functional programs., • Familiarity with or ability to rapidly learn platform tools such as Ataccama and Fabric; certifications in Azure, SAP S/4HANA, or data governance are a plus., • Preferred: experience in analytics, BI tools, and advanced data migration projects; experience in ERP implementation programs and industry-specific data models. Benefits • Competitive Compensation, • Fill health benefits (medical, dental, vision), • PTO, • Paid holidays, • 401k w/match, • Company paid life insurance & long term disability insurance, • EAP, • Tuition benefits, • Much more! - For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 06/04/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Click here for details on our virtual recruiter . Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at Benefits@CyberCoders.com to make arrangements.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai As a Research Engineer, you will be at the forefront of advancing and deploying artificial intelligence algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to understand and navigate the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology. Senior engineers are welcome to apply. You will...- Prototype, evaluate, and iterate on solutions, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving algorithms.- Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving technologies.- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.- Contribute to the publication of research findings in conferences as well as Waabi's blog. Qualifications:- Bachelor's in computer science, engineering, machine learning, or a related technical discipline.- Experience working on applied research projects.- Passion for taking research ideas and turning them into practical solutions for real-world applications.- Solid understanding of computing fundamentals, including code efficiency.- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.- Comfortable working with large datasets for machine learning applications. Bonus/nice to have:- Master/PhD in machine learning, computer science, engineering, or a related field.- Experience in shipping machine learning features/models into production.- Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.- Previous experience in self-driving technology or related fields.- Publications in top-tier conferences or journals related to artificial intelligence, machine learning, computer vision, or self-driving technology.- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.- Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $122,000 - $215,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai Waabi World depends on accurate, scalable, and efficient reconstruction of the 3D/4D physical world from real-world sensor data. As a Research Scientist in Neural Reconstruction, you will develop the next generation of neural scene-representation and reconstruction algorithms that transform sparse, noisy, and partially observed driving data into realistic and controllable digital worlds. This role focuses on 3D/4D neural reconstruction and rendering, including 3DGS/NeRF, neural scene representation, and generalizable reconstruction models. Your work will directly power Waabi World’s ability to build high-fidelity scene assets, recover geometry and dynamics from sensor data, and support realistic simulation and rendering at scale. You will… • Conduct fundamental and applied research in neural reconstruction, including:, • 3DGS / NeRF, • Dynamic scene reconstruction, • Feed-forward reconstruction, • Multi-sensor scene representation learning, • Build scalable reconstruction and simulation systems for dynamic urban scenes, including vehicles, background, lighting, and long-range structure., • Collaborate with simulation engineers to integrate models into large-scale, distributed training and rendering pipelines., • Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH)., • Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation., • Stay current with emerging advances in neural rendering, 3D representation learning, differentiable rendering, and scalable reconstruction systems. Qualifications: • Demonstrated technical innovation: You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field.., • Strong prototyping and implementation: You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training., • Expert domain knowledge: You have built generative or predictive models of the physical world with scale and efficiency in mind for real-world applications, • Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects. Bonus: • Proven ability to translate research into production-quality code and measurable product impact., • Demonstrated first-author publications in top-tier venues on topics such as:, • 3DGS / NeRF / neural rendering, • 3D / 4D reconstruction, • Generalizable reconstruction, • Geometry-aware or multi-sensor representation learning, • Experience working with camera, LiDAR, maps, and large-scale driving datasets., • Strong background in graphics, geometry, rendering systems, or simulation. The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai We are looking for a hands-on leader to build a new centralized Evaluation team. This team will be responsible for providing comprehensive and holistic analysis on all aspects of performance of the autonomy system. In this role, you will collaborate closely with the systems & safety team, responsible for defining the requirements & evaluation criteria, as well as the autonomy teams to understand their evaluation needs. You will get to work with Waabi World, our highly realistic closed-loop simulation engine built with the latest in generative AI technologies to deliver the evaluation capabilities needed to support the safe development of the next generation of autonomous vehicles! You will... • Lead and build a cross functional team of software engineers, data analysts, and data scientists supporting automated workflows that provide high signal on autonomy performance., • Design scalable production frameworks for sampling evaluation sets, developing and improving metrics, and systematically measuring the performance of both autonomy and the eval ecosystem itself., • Design pipelines, tools, and dashboards to characterize autonomy performance for technical teams and executive leadership, collaborating closely with platform teams on implementation, and autonomy, systems and safety and product teams on requirements., • Work closely with simulation and software teams to build solutions that leverage our data, metrics and simulation platforms effectively., • Lead technical projects; contributing as an IC while also managing the team., • Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers., • Conduct regular one-on-one meetings to offer guidance and constructive feedback to direct reports. Qualifications: • Minimum of 6+ years of autonomous vehicle industry experience including at least 2+ years managing high performing teams, • Experience evaluating AI or machine learning models, ideally in self-driving or related fields, • MS/PhD or Bachelors degree in Computer Science, Data Science, Robotics and/or similar technical field(s) of study, • Strong statistical background, • Experience working with internal cross-functional partners/stakeholders, • Experience with system design/architecture and algorithms, • Open-minded and collaborative team player with willingness to help others, • Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have: • Previous experience leading Autonomy Evaluation teams, • Experience with large scale databases and analytics The US yearly salary range for this role is: $159,000 - $260,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Motional's Talent Acquisition Team recruits and supports world class talent. We are actively looking for a Talent Acquisition Sourcer to support all areas of technical hiring within our Autonomy Department. We are hoping you'll be interested to join us! What you'll be doing: • Research and execute to identify and attract talented technical individuals at all levels., • Build long standing relationships with sourced candidates to best represent the Motional teams and culture, • Deep dive and cultivate difficult to find talent to join our teams, • Demonstrate expert knowledge of Motional's roles, focusing on machine learning, software engineering and more technical capabilities., • Provide a best in class candidate experience as the initial contact., • A drive to not only find talent, but create strategic ways to build long standing relationships with those that are not ready to join us today. What we're looking for: • 3+ year of relevant sourcing or recruiting experience/working with candidates and clients within Software Engineering functions, • ATS experience (Greenhouse preferred but not required), • Experience using LinkedIn Recruiter and other sourcing tools., • Strong ability to screen candidates for interest level and high level details., • Strategic partner mindset with recruiting and clients, • Excellent communication and interpersonal skills, • BA/BS degree or equivalent practical experience It's a bonus if you have: • Experience sourcing for niche or highly technical roles in the AV industry Why You Should Join Us: • Motional fosters a culture of inclusion and learning. The Talent Acquisition team works in a collaborative based approach to fill an exceptionally high number of roles, in a short amount of time, with only the highest expectations of support and guidance to get the job done as a team. We celebrate the big wins, and we support and help guide/grow when there are losses. We hope you considering joining us on the mission to build and foster a world class organization within Motional. We encourage a hybrid schedule with in-office time at one of our locations in Boston or Pittsburgh to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$84,000—$109,500 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai As a Software Engineer on our Labelling and Data Automation team, you will build pipelines, tools, and workflows to accelerate the development of our AI-first self-driving technology. The Labelling & Data Automation team plays a critical role in Waabi’s training pipeline. We are one of the first steps in the process of training machine learning models and are responsible for building practical, scalable tools and automation for extracting interesting and relevant data, creating high-quality ground truth labels, and providing this data to our expert machine learning scientists and engineers. You will.. • Design and implement tools, pipelines, and metrics to accelerate the development of our AI-first autonomy system and generative AI simulator., • Own the process, criteria, and tooling for efficiently finding interesting and relevant data across the petabytes of real world data that Waabi has collected, • Build high reliability systems for extracting and labelling the interesting data with various vendors and integrate it back into our system, • Work with both internal and third party stakeholders to define taxonomy, validation rules and success criteria for our labelling projects, • Design and manage the end-to-end deployment of data solutions to deliver high quality labelled data for various ML teams to use in experiments and model improvement, • Deploy open-set / embedding models to our production environment - empowering new search and curation modalities, • Champion engineering excellence, ensuring high-quality, well structured, and tested code., • Contribute to project roadmap planning, prioritization, and delivery. Qualifications: • 4+ years of industry experience., • Bachelor's in computer science, engineering, machine learning, or a related technical discipline., • Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code., • A willingness and ability to learn new skills, technologies, and software libraries as required., • Strong experience with data pipelines for large-scale processing and analysis., • Strong communication and organizational skills, • Understanding of cloud job orchestration, monitoring, and instrumentation best-practices., • Open-minded and collaborative team player with the willingness to help others., • Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus Points: • Experience with ML pipelines, including dataset curation, labelling, training and evaluation., • Previous experience in self-driving technology or related fields., • Familiar with linear algebra (projections, transforms) and 3D geometry., • Experience with MapReduce frameworks (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow/Apache Beam/Google Dataflow/AWS Step Functions)., • Experience with with front end development, • Experience working with open-set / embedding models and deploying them in a production setting, • Experience working with infra as code (Terraform, CloudFormation, etc) The US yearly salary range for this role is: $127,000 - $225,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential. Agility Robotics is deploying humanoid robots that are solving real-world challenges in logistics and manufacturing. Perceiving and understanding the world is critical to Digit's success in these applications. The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms. Responsibilities: • As a technical lead, you will own the architecture and technical roadmap for object perception systems used by the robot in production, • Design, develop, and deploy machine learning algorithms for multi-object detection, scene understanding, and 6-DoF object pose estimation, • Evaluate and drive adoption of state-of-the-art perception models, • Promote best practices in architecture, design, and testing to deliver high-quality, scalable software, • Optimize deep neural networks and associated data processing to run efficiently on embedded systems, • Collaborate with navigation, manipulation and hardware teams to align perception capabilities with product requirements Requirements: • 5+ years of experience deploying machine learning-based object detection algorithms on mobile robots with at least 2 years of experience in a technical leadership role, • Proficiency in related technical areas such as (but not limited to) deep convolutional neural networks, multi-object tracking, data association, supervised learning and pose estimation, • Strong mathematical fundamentals in linear algebra and numerical optimization and familiarity with core geometric concepts in computer vision, • Familiarity with common computer vision and machine learning libraries such as (but not limited to) PyTorch, OpenCV, NumPy, etc., • Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures, • Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment, • Publications in your field (CVPR, ICCV, RSS, ICRA preferred) Bonus Qualifications: • Experience using YOLO, Faster/Mask R-CNN, • Experience developing ML models for 3 or 6 dof pose estimation This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future. Anticipated Salary Range$207,000—$323,000 USD In addition to base pay, our competitive total rewards package consists of the following for full-time employees: • 401(k) Plan: Includes a 6% company match., • Equity: Company stock options., • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees., • Benefit Start Date: Eligible for benefits on your first day of employment., • Well-Being Support: Employee Assistance Program (EAP)., • Time Off:, • Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown., • Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually., • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations., • Parental Leave: Generous paid parental leave programs., • Work Environment: A culture that supports flexible work arrangements., • Growth Opportunities: Professional development and tuition reimbursement programs., • Relocation Assistance: Provided for eligible roles., • Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: https://grnh.se/b444bbd04us

Job Description We’re looking for an experienced Data Engineer to help design, build, and optimize modern data pipelines that power analytics, BI, and machine learning across NEP Group. In this role, you’ll develop scalable ETL/ELT workflows feeding Snowflake and Databricks, collaborate closely with BI and ML teams, and continuously improve our data platform to support a growing global organization. If you enjoy working with large datasets, modern cloud tools, and solving complex data challenges, this is a chance to make a real impact. Preference is for this to be a hybrid role in Pittsburgh, but we are open to fully remote candidates in Eastern or Central time zones. What You’ll Do: Design, develop, and automate ETL/ELT pipelines feeding Snowflake and Databricks Build and maintain scalable ingestion pipelines using dbt, Databricks, and Fivetran Optimize queries, data partitioning strategies, and schema design for performance and cost Partner with BI and ML teams to support analytics and advanced data use cases Identify opportunities to improve data infrastructure and implement best-practice solutions Troubleshoot data issues and provide technical guidance and support Contribute to ongoing improvements in reliability, scalability, and data quality What You’ll Need: 5+ years of experience in data engineering with strong Python, SQL, and Spark skills Hands-on experience building and automating ETL/ELT pipelines and working with data warehouses Solid understanding of data modeling, schema design, and performance optimization Experience with cloud-based data platforms such as Databricks and modern storage solutions (e.g., Delta Lake) Familiarity with CI/CD, data versioning, and best practices for scalable data infrastructure Knowledge of data governance, data quality, and lineage concepts Understanding of cloud cost optimization, security, and access control best practices Benefits • Medical, Dental, and Vision coverage, • Vacation Days, • Sick Days, • 401(k), • Discount Programs, • Life Insurance, • Disability Insurance, • Employee Assistance Program, • Flexible Spending Account You might not know our name, but you’ve probably seen our work – on stage, on screen or on the field. Our technology solutions and unique Global Production Ecosystem empower content creators and rights holders to tell their stories in breakthrough ways. We’ve supported some of the world’s most watched productions and live events in sports, entertainment, concerts, festivals, film, TV and more. For 40 years our clients have trusted us to deliver live production, live events, and virtual production solutions for them, anytime, anywhere. Put simply, we bring content to life. Check us out at https://www.nepgroup.com/career/careers

Job Description Mission Summary: We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models. What you'll be doing: • Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time., • Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed., • Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads., • Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput. What we're looking for: • Education: Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline., • Software Engineering: Strong proficiency in Python., • ML Frameworks: Extensive hands-on experience with PyTorch., • ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes., • Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$144,000—$192,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai You will..- Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models.- Collaborate with data scientists and engineers to understand model requirements and optimize pipeline processes.- Automate the training, testing and deployment processes for machine learning models.- Continuously monitor and maintain model pipelines, ensuring optimal performance, accuracy and reliability.- Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.- Ensure compliance with security and data privacy standards in all MLOps activities. Qualifications:- 3-5 years of experience in MLOps, DevOps or a related field.- Bachelor’s degree in Computer Science, Data Science or a related field.- Strong understanding of machine learning principles and model lifecycle management.- Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services.- Familiarity with containerization and orchestration tools such as Kubernetes and Docker.- Knowledge of CI/CD pipelines, automation tools and version control systems like Git.- Strong problem-solving skills and ability to troubleshoot complex issues.- Experience with monitoring tools and practices for model performance in production.- Ability to work collaboratively in cross-functional teams. Bonus/nice to have: - Experience with infrastructure-as-code (IaC) tools such as Terraform or Crossplane.- Knowledge of big data technologies like Apache Spark or Hadoop.- Familiarity with data engineering practices and tools.- Experience with A/B testing and model validation in production environments.- Relevant MLOps certifications (e.g., AWS Certified Machine Learning – Specialty, DataRobot MLOps Certification) are a plus.The US yearly salary range for this role is: $157,000 - $234,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Mission Summary: We are seeking an experienced and visionary Staff Level Technical Lead Manager to build and lead our new AI Data Engine team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating our ML dataset generation and our data warehouse stack. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future! You will be a hands-on leader, blending deep technical expertise in data systems and infrastructure with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvements. What You'll Be Doing: • Team Leadership & Management:, • Build, lead, and manage a high-performing team of data and infrastructure engineers focused on building out Motional's Data Stack., • Define team goals, priorities, and roadmap in alignment with company objectives., • Provide technical guidance, mentorship, and career development opportunities to team members., • Technical Strategy & Execution:, • Define the technical vision and strategy for storing metrics and generating ML datasets for large computer vision and behavioral models., • Identify and evaluate cutting-edge technologies and methodologies for speeding up data loaders for training, ingestion of metrics, and querying of large datasets for everything from dashboards to training., • Cross-functional Collaboration:, • Collaborate closely with ML research, ML Training platform, and data engineering teams to understand their needs and integrate solutions seamlessly., • Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. What We're Looking For: • Experience:, • BS or MS in Computer Science or related field, • 8+ years of professional experience in data platform engineering, • 3+ years of experience in a technical lead or management role with 3-7 direct reports, • Extensive experience with managing large (petabyte plus) scale data platforms such as data warehouses, object storage, and ML training data stores., • Extensive experience with workflow orchestration frameworks such as Airflow or Step Functions., • Technical Skills:, • Strong programming skills in Python. C++ experience is a plus., • Deep knowledge of data storage formats such as Parquet, Iceberg, and Lance and understand their tradeoffs., • Strong knowledge of cloud infrastructure (AWS, GCP) solutions and their product offerings., • Prior experience with building data warehouses or lakehouse architectures at a machine learning or robotics company. Bonus Points (not required): • Prior experience in autonomous vehicles (AV) is a plus., • Prior experience with Bazel based build systems. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$172,000—$229,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description Mission Summary: At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery. As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and architecture for the machine learning systems that power our data discovery and model improvement lifecycles. Rather than focusing on a single specialized domain, you will leverage your broad ML expertise to architect massive, scalable systems, from multimodal representation learning and active learning loops to hyper-efficient production inference. You will own system-level architecture, lead multi-quarter, multi-person initiatives, and partner across the engineering organization to unblock teams and influence our department-wide technical strategy. By establishing robust processes and mentoring those around you, you will ensure our ML platforms act as a reliable, mission-critical engine for the entire autonomy stack. What You'll Do: • Define Technical Strategy & Roadmaps: Develop and execute multi-quarter, high-impact technical roadmaps for core ML systems. Proactively inform leadership to guide reprioritization, ensuring initiatives consistently drive team-wide and department-level OKRs and KPIs., • Architect System-Level Solutions: Own the system-level architecture for complex ML products. Design scalable frameworks for massive data mining and highly optimized, real-time inference across GPU/CPU clusters., • Drive Cross-Functional Execution: Lead multi-person projects to completion across teams. Influence partner teams' technical roadmaps (such as Autonomy) to solve shared problems, break down silos, and build alignment., • Elevate Engineering Excellence: Establish department-wide standards for ML system design, code quality, testing, and deployment. Deliver processes to proactively address issues and participate in org-wide incident response planning., • Operate as a Generalist Expert: Apply a broad toolkit of ML techniques (deep learning, representation learning, active learning, generative AI) to solve complex, ambiguous problems. Unblock yourself and your team when facing unprecedented technical challenges., • Mentor and Lead: Act as a role model and technical go-to person. Coach Senior and junior engineers, lead architectural reviews, and elevate Motional's engineering culture through internal documentation, tech talks, and collaborative design. What We're Looking For (Must-Haves): • BS in Computer Science, Machine Learning, or a related field (or equivalent practical experience), • 8+ years of hands-on ML engineering experience, with a proven track record of owning architecture, deployment, and optimization of large-scale ML systems, • Demonstrated experience working with multimodal foundation models in ML production systems, including integration, scaling, fine-tuning, or deployment of models that process multiple data modalities (e.g., camera, LiDAR, radar, text), • Demonstrated technical leadership: defining multi-quarter roadmaps, leading multi-person initiatives, and driving department-level technical strategy, • Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX), backed by strong software engineering fundamentals (system design, CI/CD, containerization), • Broad ML generalist knowledge, with practical experience spanning model training, deep learning architectures, evaluation methodologies, and production deployment at scale, • Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for latency, throughput, and hardware efficiency, • Proven ability to mentor peers, explain complex trade-offs to leadership, and drive consensus across disparate teams Bonus Points (Nice-to-Haves): • MS/PhD in Computer Science, Machine Learning, or a related field., • Background in autonomous driving, robotics, or complex real-time decision-making systems., • Experience with massive-scale ML data mining, active learning loops, and contrastive/representation learning., • Familiarity with multimodal learning, sensor fusion, or large foundation models., • Deep knowledge of model serving tools (TF Serving, Triton, TorchServe) and enterprise MLOps platforms., • Demonstrated experience leading org-wide severity reviews or establishing incident response planning for mission-critical ML platforms. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$205,000—$272,500 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description Our client, a leading manufacturer of aero engines and industrial gas turbine components, is a globally recognized public company with a remarkable 75-year history of growth and innovation. Renowned in the aerospace industry, it offers an exceptional company culture that fosters development and provides diverse opportunities. Forbes has honored it as one of the World's Best Employers, highlighting its commitment to excellence and inclusivity. Company Description & Perks: • Publicly traded company on a path of continuous growth, recognized by Forbes as a top global employer, • Exceptional insurance coverage and 401(k) matching program (9%), effective upon hire, • Employer contribution to your Retirement Savings Plan account each pay period, • Vibrant company culture and collaborative team environment, • Access to excellent training programs for professional development, • Free fitness center membership, • Be at the forefront of innovation, applying machine learning to aerospace manufacturing, • Collaborate with a supportive, cutting-edge team dedicated to solving challenging real-world problems Position Summary The Procurement Analyst is a data-driven role that supports and advises the procurement team by transforming purchasing, supplier, and market data into actionable insights. This individual will leverage analytical tools and methodologies to identify cost-saving opportunities, evaluate supplier performance, assess procurement risks, and recommend sourcing strategies that align with business objectives. Embedded within a manufacturing environment, this role requires someone who can bridge raw data with practical procurement decisions, enabling the team to operate more strategically and efficiently. Key Responsibilities Data Analysis & Reporting • Collect, organize, and analyze procurement and spend data from Oracle ERP and other internal systems to identify trends, variances, and cost-saving opportunities., • Develop and maintain dashboards, scorecards, and recurring reports using Power BI, Tableau, or Excel to provide real-time visibility into procurement KPIs., • Conduct spend analysis across categories, suppliers, and business units to support strategic sourcing initiatives., • Query and extract data from relational databases using SQL to support ad hoc reporting and deep-dive analysis. Supplier Evaluation & Performance • Track and analyze supplier performance metrics, including on-time delivery, quality, pricing competitiveness, and contract compliance., • Prepare supplier performance scorecards and present findings to the procurement team to support vendor management decisions., • Support supplier qualification and risk assessment processes by compiling financial, operational, and market data. Market Intelligence & Benchmarking • Research commodity pricing trends, market conditions, and industry benchmarks relevant to manufacturing procurement., • Provide data-backed recommendations on sourcing strategies, including make-vs-buy analysis, sole-source risk, and alternative supplier identification., • Monitor raw material and component price fluctuations that impact manufacturing cost structures. Process Improvement & Cross-Functional Collaboration • Identify inefficiencies in procurement processes and recommend data-driven improvements to workflows, approval cycles, and purchasing practices., • Collaborate with finance, operations, engineering, and supply chain teams to align procurement activities with production schedules and budgetary goals., • Assist with contract analysis, purchase order review, and RFQ/RFP processes as needed., • Support procurement team members with analytical deliverables for negotiations and category strategy development. Qualifications Required • Bachelor’s degree in Supply Chain Management, Business Administration, Finance, Data Analytics, Industrial Engineering, or a related field., • 1–2 years of professional experience in a procurement, supply chain, sourcing, or data analysis capacity within a manufacturing environment., • Proficiency in Microsoft Excel (advanced formulas, pivot tables, VLOOKUP/XLOOKUP, data modeling)., • Working knowledge of SQL for data extraction and querying from relational databases., • Experience with data visualization tools such as Power BI or Tableau., • Familiarity with Oracle ERP or a comparable enterprise resource planning system., • Strong analytical and critical thinking skills with the ability to translate data into clear, actionable recommendations., • Excellent written and verbal communication skills, with the ability to present findings to technical and non-technical stakeholders., • High attention to detail and accuracy in data handling and reporting., • This position is subject to the International Traffic in Arms Regulations (ITAR), which requires U.S. person status., • Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position. Preferred • APICS CSCP, CPSM, or similar supply chain/procurement certification., • Exposure to metals or precision manufacturing procurement environments., • Experience with spend analytics platforms or procurement-specific software., • Knowledge of Lean, Six Sigma, or continuous improvement methodologies as applied to procurement operations. _ About Augmentis Augmentis is a specialized recruiting firm focused on accounting, finance, procurement, and engineering talent across the U.S. We partner with growthoriented companies to match highimpact professionals with meaningful roles. To learn more about Augmentis, visit our website: www.augment-is.com Representation/employer clarification: Augmentis is conducting this search on behalf of our client. The selected candidate will be employed directly by our client, not by Augmentis. EEO + disclaimer Our client and Augmentis are Equal Opportunity Employers. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic. This job posting does not constitute a contract or guarantee of employment, and role details are subject to change based on our clients' needs. By applying, you acknowledge that your information may be shared with our client for recruitment and hiring.

Job Description Mission Summary: As a Staff Engineer within the Platform Engineering team, you will be a hands-on technical leader driving the evolution of Motional's global cloud and hybrid infrastructure. Operating as a senior individual contributor, you'll tackle our hardest platform problems directly — designing systems, creating code, and setting technical direction for initiatives that span multiple teams. Your work will help transform our R&D environment into a hardened, cost-efficient, and scalable commercial backbone, and ensure our internal platforms deliver the developer velocity required for rapid AV deployment. What you'll be doing: • Design and build major components of our cloud architecture — including networking, storage, compute abstraction layers. You'll own the technical design end-to-end and create code where it matters most, • Drive technical evolution of our Kubernetes-based developer platform. Identify the highest-leverage improvements to scalability, cost attribution, access control, and developer ergonomics — then design and implement them to reduce configuration complexity and accelerate engineering velocity, • Raise the reliability bar across Platform Engineering. Define and implement standards for SLIs, SLOs, observability, and failover, and partner with peer teams to roll them out across platform-layer services, • Drive FinOps practices — cost visibility, attribution, accountability as well as optimization recommendations, • Design and ship AI-native developer experiences by integrating LLM-powered tooling into CI, build systems, monitoring platforms, and local development workflows to remove friction and boost engineering throughput What we're looking for: • Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience), • 9 years in Software or Infrastructure Engineering, with significant experience in a senior IC capacity, • Deep, expert-level knowledge of Kubernetes internals and ecosystem (Operators (Crossplane, ArgoWorkflow/Airflow, KubeRay), Kubecost/OpenCost, Service Mesh, GitOps and other CNCF projects), • Proven track record of designing or migrating complex workloads between on-prem data centers and major cloud providers (AWS, GCP, other), • Experience with Infrastructure-as-Code (Terraform/CloudFormation, Terraform Cloud/Spacelift/Atlantis) and advanced observability tooling (OpenTelemetry, Prometheus/VictoriaMetrics, Grafana, Datadog), • Expert in architecting AI-driven operations, leveraging LLMs and agentic workflows to automate incident response, predictive scaling, and intelligent system observability, • Demonstrated ability to influence technical roadmaps across an entire engineering organization and mentor senior technical staff Bonus points (not required): • Proven expertise in CI/CD orchestration, build systems (Bazel, RBE), frameworks, • Prior experience with large-scale machine learning training pipelines, • Experience leading technical projects in a globally distributed team, • Open-source contributions to Kubernetes, observability, or infrastructure tooling ecosystems The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$172,000—$229,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description Mission Summary: We are seeking an experienced and visionary Principle Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services. You will be a hands-on leader, blending deep technical expertise in ML systems and performance optimization with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvement. What you'll be doing: • Team Leadership & Management:, • Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration., • Provide technical guidance, mentorship, and career development opportunities to team members., • Foster a collaborative and inclusive team environment., • Define team goals, priorities, and roadmap in alignment with company objectives., • Technical Strategy & Execution:, • Define the technical vision and strategy for ML acceleration across the organization., • Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training, including but not limited to data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques., • Design, develop, and implement scalable and efficient ML acceleration solutions., • Cross-functional Collaboration:, • Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly., • Communicate complex technical concepts and strategies to both technical and non-technical stakeholders., • Act as a technical expert and advocate for ML acceleration initiatives across the company., • Impact & Measurement:, • Regularly measure and report on the impact of acceleration efforts., • Continuously seek opportunities for further optimization and innovation. What we're looking for: • Experience:, • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience, • 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems, and model performance optimization., • 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams., • Extensive experience with large-scale ML model training and deployment, ideally in a production environment., • Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure)., • Technical Skills:, • Deep expertise in ML frameworks such as PyTorch or JAX., • Proficiency in performance profiling and optimization techniques for Deep Neural Networks., • Strong programming skills in Python; C++ experience is a plus., • Knowledge of MLOps principles and practices., • Leadership Skills:, • Exceptional leadership, communication, and interpersonal skills., • Ability to attract, hire, and retain top engineering talent., • Proven ability to drive complex technical projects from conception to completion., • Strong problem-solving skills and a proactive, results-oriented mindset., • Ability to thrive in a fast-paced, dynamic environment. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$240,000—$330,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description You're an engineer who is excited to work on cutting-edge software products and solutions using state-of-the-art computer vision and deep learning. You have a solid foundation in areas like detection, classification, segmentation, or tracking—whether through previous roles, internships, or research—and you're eager to apply those skills in an impactful, production-focused environment. You're curious, motivated, and ready to learn from experienced teammates. You enjoy solving challenging technical problems, asking thoughtful questions, and collaborating with others to build high-quality software. You're excited about contributing to the perception stack for self-driving vehicles and learning what it means to build technology for safety-critical, open-world applications. What you'll be doing: • Contribute to the design, development, and improvement of perception components that support downstream modules within the autonomy system., • Help analyze perception system performance to identify areas for improvement and participate in efforts to address them., • Work with teammates to explore creative approaches to "long-tail" challenges—for example, experimenting with synthetic data, data mining techniques, or new model architectures., • Depending on your background and interests, you may also help optimize and deploy models to the vehicle, ensuring they operate within the constraints of our onboard hardware and meet our functional requirements and interface specifications., • Interface with systems and safety engineers, test engineers, and data analysts to ensure appropriate requirements, test coverage, and performance metrics What We're Looking for: • Master's or Ph.D. in Machine Learning, Computer Science, Robotics, or a related field; or equivalent industry experience, • Solid understanding of fundamental deep learning concepts and computer vision techniques, • Experience building, training, or evaluating neural networks, • Proficiency in Python and familiarity with libraries like PyTorch or similar, • Exposure to software engineering fundamentals—version control, code reviews, testing, and collaborative development, • Clear communication skills and willingness to ask questions, share ideas, and work with others Bonus Points: • Previous experience with sensor fusion and/or previous exposure to the AV industry, • Experience shipping a "real" product and balancing ongoing support with next-generation innovation, • Exposure to safety-critical products or components, • Publications in relevant conferences (CVPR, ICML, NeurIPS, etc.), • Strong programming skills in C++ and/or CUDA programming, • Experience with TensorRT and model quantization The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$136,500—$225,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.