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Job Description About the Team: The Maritime Domain Awareness Group (MDA) develops and delivers advanced signal processing algorithms and techniques for airborne radar and passive optical systems. MDA fosters a culture of innovation, collaboration, and execution. We develop and analyze cutting edge algorithms for detection and exploitation of signals in high clutter and noise environments using both classical, physics-based approaches, and big data-driven artificial intelligence and machine learning (AI/ML) techniques. If you are seeking an opportunity to apply your deep technical knowledge and creativity in a fast-paced, challenging environment to make a lasting impact, we invite you to join us. The Role: We are looking for a Senior Scientist to develop state-of-the-art algorithms and techniques for airborne passive optical systems for the purpose of detection and exploitation of targets with low signal to noise ratios. You will apply first principles of physics to model and simulate realistic environments to develop a deep understanding of clutter environments and then apply that knowledge to develop all relevant components of the signal processing chain from the raw sensor data to the target classification. What you will do: • Work closely with program leadership to spearhead efforts that align with program and company priorities, • Conceive, prototype, test, and mature image processing algorithms for critical national security missions, • Ability to obtain and maintain a security clearance, for which U.S. citizenship is needed by U.S. Government, • BA, or MS in Physics, Applied Mathematics, Electrical Engineering, or related technical discipline, • 3-5+ years of relevant work experience, • Expertise in two or more of the following areas:, • Signal processing, Fourier analysis, linear estimation, optimization, adaptive signal processing, AI/ML algorithm development, algorithm development, modeling & simulation, systems engineering, optics modelling, • Experience building and delivering technical briefs to peers, senior level executives, and customers, • Proficiency in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++, • Experienced researcher and team member who is excited to work with mission partners to leverage cutting-edge technology and research for immediate impact, • Excellent communicator and briefer, who is comfortable communicating with both technical and non-technical audiences, • Active Secret or TS/SCI Clearance, • Demonstrated leadership of complex research, development, and engineering efforts, • Experience with:, • Passive optical technologies in the defense sector, particularly airborne, downward-looking sensors, • Computer vision techniques such as feature identification/matching/tracking, optical flow, background subtraction, etc, • Interacting with decision-makers and customers to translate mission needs into an end-to-end solution The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We are building state-of-the-art AI and machine learning technologies at Klaviyo to power marketing agent, service agent, and personalization products such as smart send time, audience optimization and product recommendations. As a Machine Learning Platform Engineering Manager, you will lead a team of engineers building the core platforms, tools, and infrastructure that ML and AI engineers rely on to create advanced agents and models powering Klaviyo's products. Your team will own platforms for training and deploying models and scaling systems that must operate reliably at Klaviyo's data and traffic scale. This is a backend-heavy, hands-on technical leadership role. You will manage and grow engineers, shape the technical roadmap for ML Platform, and collaborate closely with product, ML, data science, and infrastructure partners to deliver durable, high-leverage platforms that accelerate AI development across Klaviyo. This role is hybrid and based in Boston. How You'll Make an Impact • Enable AI / ML teams across Klaviyo to ship new models and ML-powered features faster, more safely, and more reliably., • Evolve our ML and LLM platform architecture so teams can build, evaluate, and operate production ML systems with consistent patterns and best practices., • Improve reliability, observability, and cost efficiency of ML training, inference, and other ML workloads that serve features like smart send time, audience optimization and product recommendations., • Raise the bar on engineering and operational excellence for systems that support 167K+ customers and billions of events., • Build and grow a high-performing, inclusive engineering team that operates with ownership, curiosity, and strong customer focus. What You'll Do • Lead, coach, and grow a team of software / ML platform engineers (typically 6–10+ direct reports)., • Set clear goals, provide regular feedback, and support career development aligned with Klaviyo's Engineering Career Architecture., • Stay hands-on with the technology: participate in design reviews, code reviews, and occasionally ship code for critical paths or prototypes. Who You Are We encourage candidates to apply even if they do not meet all the qualifications listed. ML Platform and MLOps are rapidly evolving spaces and we are all constantly learning. • 7+ years of experience as a software engineer, ML platform engineer, or similar, building backend or distributed systems., • 2+ years of experience in a formal people leadership role, • Demonstrated experience launching and operating AI/ML systems in production at scale, • Strong proficiency in Python (or a similar backend language such as Go, Java, or Scala)., • Experience with cloud infrastructure and platform fundamentals (AWS, kubernetes):, • Familiarity with data-intensive systems: streaming or batch processing, data modeling, and designing systems with large-scale data in mind (spark, ray-data)., • Comfortable collaborating with cross-functional technical partners (ML, product, infra, security)., • Strong communication skills and a track record of driving clarity and alignment across teams. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$176,000—$264,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description Company Overview We are the only AI-native biotech, pioneering small and large molecule therapeutics discovery by integrating massive multimodal data, frontier AI models, and high-throughput lab automation into an infrastructure for AI-enabled drug discovery. We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists. Join us to build the world's first AI infrastructure for tech-enabled drug discovery and to deliver a pipeline of diverse drug modalities for all major disease areas. Computation is revolutionizing drug discovery. Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 , we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, data science, and software engineering to develop drugs for previously undruggable targets. Role Description • Own computational chemistry programs across therapeutic modalities, disease targets, and indications, • Ensure effective collaboration with the Biology and Medicinal Chemistry teams by providing key computational chemistry insights to aid in the Hit-to-Lead and Lead Optimization phases of drug discovery operations, • Ensure effective collaboration with the ML Engineering and AI Research team by providing key computational chemistry insights to aid in the development of AI/ML models for drug discovery as well as the incorporation of those models into drug discovery operations, • Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology, • Partner to improve 1910's existing process for progressing from computational hit to experimental hit to lead to drug candidate, • Co-author provisional patents and peer-reviewed research papers, • Progress a virtual hit to a biochemical/cellular hit, • Validate a cellular hit in a clinically relevant animal model of disease, • Update provisional patents with the animal model data, • Nominate a lead candidate for progression into IND-enabling studies, • Attend and present research at conferences and events related to computational modeling in drug discovery Qualifications • Ph.D. in computational chemistry or related discipline, • 2 years of relevant industry experience within drug discovery or biotechnology, • Played a key role in advancing a drug discovery program from early research phases to clinical development, • In-depth knowledge and hands-on experience with quantum chemical (QC) methods, including semi-empirical and density functional theory (DFT) approaches, molecular dynamics (MD) simulations, including both standard MD and enhanced sampling techniques such as metadynamics, umbrella sampling, and replica exchange MD, free energy simulations such as FEP and TI, and QM/MM methodologies for small and large molecular systems, • Strong understanding of key concepts, including potential energy surfaces (PES), intermolecular and intramolecular forces/interactions, force fields, molecular properties, thermodynamic properties, solvation models (implicit/explicit), and conformational sampling, • Proficiency in analyzing molecular properties such as solvation free energy, dipole moments, vibrational frequencies, electrostatic potential, charge distribution, and more., • Deep knowledge of implicit and explicit solvent models, with extensive experience modeling solvent effects on molecular systems and chemical reactions in various environments, • Extensive experience in using and troubleshooting software tools for QC calculations (e.g., ORCA, xTB, CREST, etc.), MD simulations (e.g., GROMACS, OpenMM, etc.), Drug Design Development Packages (e.g., EG, Schrodinger, MOE, CRESSET), • Experience working with HPC Clusters and cloud-based services like (e.g., Microsoft AZURE, AWS), • Ability to optimize computational simulation protocols for efficient resource usage, • Proven experience working with small organic molecules and large biomolecular systems (e.g., peptides, proteins, etc.) for property prediction, conformational analysis, and structure-activity relationships (SAR), • Hands-on experience with Python and Bash scripting for automating workflows and data analysis, • Familiarity with cheminformatics toolkits such as RDKit for molecular property prediction and data management, • Basic knowledge of machine learning (ML) techniques applied to molecular property prediction, virtual screening, and related tasks, • Strong desire to collaborate with AI scientists, data scientists, medicinal chemists, and biologists to interpret computational results and guide experimental design, • Publications in computational chemistry related to drug discovery #LI-Onsite Diversity and Inclusion (1910's Promise) At 1910, we believe that a diverse, equitable, and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. 1910 is proud to be an equal-opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While 1910 supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills. Benefits and Perks • Competitive compensation package, • Above market benefits, • Generous vacation and parental leave, • Super cool team building activities, • Great colleagues

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 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 this role:Pickle Robot is seeking a seasoned Software Engineering Manager, Motion Planning to lead and expand our motion planning team, scaling best-in-class robotics motion software for warehouse automation. You’ll oversee a team of Motion Planning Software Engineers, guiding efforts to build algorithms that allow our robotic arms to manipulate and unload packages quickly and safely.This leadership role focuses on team mentorship and growth, driving motion planning innovation from concept to production in fast-paced, real-world logistics environments.What You’ll Accomplish: • Mentor, manage, and grow a team of motion planning software engineers., • Foster technical and professional development through code reviews, coaching, and regular 1:1s., • Set high-level vision and provide technical leadership for the motion planning team., • Work with product management and engineering leadership to align engineering direction with product roadmap., • Ensure robust, safe, and high-performing behaviors both in simulation and on real robots., • Participate in design reviews, algorithm development, and deep-dive troubleshooting of critical issues., • Own the team’s output and ensure the team’s success as the company growsWho You Are:, • 5 years of experience in robotics software development, with at least two years in a people management role., • Knowledge of motion planning and controls techniques for robotic manipulators and AMRs (e.g. RRT, MPC, trajectory optimization) is a plus., • Proficient in C++ and Python, with experience using ROS or other robotic frameworks., • Familiarity with simulation tools (Gazebo, Isaac Sim, etc.) strongly preferred., • Excellent mentor and communicator, adept at cross-functional collaboration., • Adaptable, curious, and eager to stay ahead of robotics research., • Passionate about leading real-world robotics innovation.

Job DescriptionWe are seeking a highly skilled and experienced Data Scientist to join our Perception Verification and Validation team. The team is responsible for verifying and validating the perception stack of our autonomous driving system. The candidate will work closely with other data scientists, perception engineers, and systems engineers to develop datasets and metrics to quantify the performance of our perception system. The candidate will also help define key performance metrics that will enable perception engineers to directly measure the impact of new features on both the overall Perception stack as well as end-to-end system behavior.In this role, You will... • Define key performance metrics that will help perception engineers to measure the impact of new features on the perception stack and the end-to-end system behavior, • Create and maintain datasets used to evaluate the perception stack and end-to-end driving performance., • Analyze large scale metric results to identify patterns and insights about perception failure modes. Present results and insights to leadership., • Design and implement statistical methods to quantify uncertainty in our performance and validation metrics.Qualifications, • Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related field, • Proficient using data query languages (SQL and/or Spark/scala) to quickly build complex yet efficient data queries at scale and using Python to build production-quality code, • Basic experience with autonomous driving, safety-critical systems, or computer vision systems., • Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business., • Background in statistical modeling and analysis; including experience making data-driven decisions that connect point and uncertainty estimates to business impact.Bonus Qualifications, • Skilled at using AI tools to improve development efficiency and quality., • Experience with experiment design and statistical comparisons (A/B testing, parametric/non-parametric statistics, etc.)

Job DescriptionPosition OverviewWe are seeking an undergraduate student to support our Finance and IT teams with a focus on data analysis and quantitative problem-solving. This internship provides hands-on experience working with financial datasets, basic modeling, and tools used in data-driven decision-making.We welcome candidates from analytical and cross-disciplinary backgrounds—including mathematics, statistics, economics, engineering, computer science, and related fields—who are interested in applying quantitative thinking to real-world business and financial problems. Key Responsibilities • Work with structured datasets to support basic financial and operational analysis, • Assist in organizing, cleaning, and validating data for reporting and modeling, • Build and maintain spreadsheets and simple analytical models in Excel, • Support development of reports, dashboards, and visualizations, • Identify patterns, inconsistencies, or trends in data, • Assist with automation or efficiency improvements using tools like Excel, SQL, or Python (where applicable), • Collaborate with team members on data, finance, and technology-related tasks, • Apply quantitative or analytical approaches from coursework to practical business problems Required Qualifications, • Currently pursuing a Bachelor’s degree in a quantitative or analytical field (e.g., Mathematics, Statistics, Economics, Computer Science, Engineering, Finance, or related discipline), • Strong problem-solving and analytical thinking skills, • Familiarity with:, • Microsoft Excel (formulas, basic functions), • Microsoft Office (Word, PowerPoint), • Comfort working with numbers and structured data, • Strong attention to detail and willingness to learn Preferred Qualifications, • Exposure to programming or data tools (Python, SQL, R, or similar) through coursework or projects, • Experience with Excel functions (e.g., VLOOKUP, pivot tables), • Introductory knowledge of statistics, probability, or data analysis, • Interest in financial markets, data analytics, or fintech, • Coursework or projects involving:, • Data analysis or visualization, • Mathematical modeling, • Machine learning (introductory), • Computational or applied problem-solving What You’ll Gain, • Hands-on experience applying quantitative skills in a real-world business environment, • Exposure to financial data, analytics workflows, and decision-making processes, • Opportunity to build foundational data and modeling skills, • Mentorship and professional development, • Insight into career paths in quantitative finance, data science, and analytics Internship Details, • Summer 2026, with possible extension

Job Description Life at Plume At Plume, we believe that technology isn't about moving faster, it's about making life's moments better. Which is why we've built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale. We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We're expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data. With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can't do it exceptionally well, we don't do it. It's how we've assembled a team of world-class builders, thinkers, and doers. And it's how we're reinventing what's possible every day. About the Role Plume's Core Engineering team is looking for a Senior Wireless Firmware Engineer with deep expertise in WiFi driver development to lead innovation for large-scale WiFi and broadband solutions. You will work across embedded firmware, wireless drivers, and system-level software to enable high-performance, scalable, and reliable WiFi experiences. This is a high-impact senior role where you will lead complex initiatives in wireless networking, performance optimization, and large-scale deployments, while mentoring other engineers and influencing system architecture. What You'll Do • Lead design and development of WiFi firmware and driver architecture for next-generation wireless platforms, • Own critical components of the WiFi stack and drive technical direction across projects, • Mentor junior engineers and provide technical guidance across firmware and driver domains, • Design, develop, and optimize WiFi firmware and low-level wireless drivers, • Work on IEEE 802.11 stack (WiFi 4/5/6/6E/7), including MAC/PHY layers, • Debug and optimize WiFi drivers with chipset/SoC vendors, • Analyze network behavior and improve performance (throughput, latency, reliability), • Participate in full software lifecycle: design, development, testing, deployment, and support, • Troubleshoot complex system-level issues across firmware, drivers, and networking stacks Required Qualifications • BS/MS/PhD in Computer Science, Electrical Engineering, or related field, • 8+ years of experience in embedded systems, firmware, or driver development, • Proven experience leading complex technical projects end-to-end, • Strong expertise in C/C++, • Deep experience with WiFi driver development at chipset/SoC level, • Strong understanding of Linux kernel and networking stack, • Deep knowledge of IEEE 802.11 MAC and PHY layers, • Experience with OpenWRT, RDK, or OpenSync, • Strong debugging and performance optimization skills Preferred Qualifications • Experience with Broadcom, Qualcomm, or MediaTek WiFi chipsets, • Experience with mesh networking and large-scale deployments, • Knowledge of MU-MIMO, OFDMA, beamforming, WiFi 7, • Python or scripting for automation, • Familiarity with cloud-managed networking systems What You Bring • Strong ownership and leadership mindset, • Ability to solve complex, ambiguous problems, • Experience mentoring engineers, • Excellent communication and collaboration skills, • Passion for building high-performance wireless systems This role is fully remote but requires someone to reside in EST. Unfortunately, we are not offering sponsorship at this time. The total compensation package would include an anticipated compensation range of $140,000.00 - $150,000.00, plus bonus, equity, and benefits. Benefits include: a 401 (k) plan and a company match, basic life insurance, plus unparalleled health, dental, vision, and other benefits and perks. An employee's base salary and its position within the range may depend on several factors, including job-related knowledge, education, skills, experience, and other business-related considerations. Published ranges are provided in good faith at the time of posting. #LI-Remote, #RemoteJobs, #WorkFromHome, #RemoteWork, #WFH About Plume As the creator of the only open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers, Plume partners with over 400 ISP customers, including some of the world's largest such as Comcast, Charter, Liberty Global, and J:COM. Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume's software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture. Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.

Job DescriptionOur Perception team is responsible for using our sensor data to understand the complex and dynamic environments where we drive. In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for segmentation, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components. As a Senior Staff ML Engineer, you will lead the development of machine learning algorithms that can range in influence from onboard autonomy to offboard autonomy and validation. You will collaborate closely with other teams specializing in Prediction, Planning, Simulation, and Safety Validation, influencing our overall technical stack. Your role will look at problems in a way that crosses team boundaries to prototype new approaches that influence the long term technical direction of multiple organizations within the company. The impact of the role can be in the form of impacting immediate company milestones to leading forward-looking exploratory projects.Responsibilities • Develop new algorithms to understand the scene around the robot, and how that scene would evolve through time, • Build multi-modal foundation models for on-vehicle and offline applications, • Develop new algorithms to apply generative AI to simulation to improve the realism of our offline validation systems, • Leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field, • Provide technical mentorship to the broader group of ML developers at Zoox, • Collaborate with engineers on Prediction, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environmentsQualifications, • BS, MS, or PhD degree in computer science or related field, • Experience with training and deploying Deep Learning models on sensor data-Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines, • Experience with modern computer vision techniques, • Strong mathematical skills and understanding of probabilistic techniques, • Fluency in C++ or Fluency in Python with a basic understanding of C++, • Extensive experience with programming and algorithm design-Strong mathematics skillsBonus Qualifications, • Publications in your field (CVPR, ICCV, RSS, ICRA preferred), • Experience with autonomous robots, • Experience with realtime sensor fusion (e.g. LiDAR, camera, radar), • Experience with novel pipelines and architectures for convolutional neural nets

Job Description Company Description The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch, for data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale. Rooted in academia, Ikigai also offers unmatched educational support that upskills workforces and transforms organizations into AI-driven ones. Ikigai Academy has already trained over 6000 students from 90+ countries on topics like “No Code AI” and “Time Series Forecasting”. Role Description: We are seeking a Data Scientist who thrives at the intersection of data transformation, analytics, and implementation. In this role, the Data Scientist will partner directly with clients to prepare, clean, and transform their data so it can seamlessly integrate with our aiCast platform. This Data Scientist will help customers unlock the value of their data—building pipelines, dashboards, and forecasts—and in many cases, own the end-to-end implementation from ingestion through delivery. This Data Scientist position is centered on data engineering, applied analytics, and client enablement. You’ll play a key role in helping customers get from raw data to actionable insights. Responsibilities: * Collaborate with client teams to understand their data sources, structures, and business requirements. * Design and implement data transformation pipelines to prepare data for aiCast ingestion. * Build reporting and dashboarding solutions to help clients interpret and act on their data. * Develop forecasting and analytics workflows to extend client use cases beyond data prep. * Support end-to-end solution delivery—covering extraction, transformation, validation, and deployment—when applicable. * Troubleshoot data quality issues and provide recommendations for improved structures or processes. * Partner with internal engineering and success teams to ensure smooth implementations and knowledge transfer. Qualifications: * At least 1-3 years of experience in a data role, preferably with enterprise clients * Associate’s or Bachelor’s degree in a relevant field (e.g., Computer Science, Statistics, or Applied Mathematics) preferred * Proficiency in Python, including libraries like NumPy and Pandas for data transformation. * Working knowledge of SQL for querying and joining datasets (intermediate level). * Experience building ETL/ELT pipelines or similar data processing workflows. * Familiarity with data visualization, reporting, or dashboarding tools. * Strong problem-solving skills with a focus on client outcomes and practical implementation. * Ability to work with incomplete or messy data and structure it for usability in production systems. * Excellent communication skills for translating technical work into business impact. Preferred Skills: * Knowledge of data transformation (e.g. using python Pandas library) database management, data integration, or data visualization is a plus * Experience with forecasting techniques or applied time-series analytics. * Background in client-facing or consulting roles where you owned implementation delivery. * Understanding of software engineering best practices (version control, testing, deployment). Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. Powered by JazzHR sfmsCHcJWY

Job Description HyperLight is at the forefront of the commercialization of thin-film lithium niobate (TFLN) integrated photonics - a material and process technology that is enabling high-performance, scalable optical components across AI/datacom infrastructure, hyperscale computing, quantum computing, sensing, and beyond. Founded in 2018 and backed by leading venture capital, we’ve built a team and a platform focused on real-world mass deployment of TFLN photonics technology. At the core of our work is the TFLN Chiplet™ platform — a modular, integrated architecture designed for scalability, manufacturability, and seamless integration into complex systems. It offers a rare combination of extraordinary performance and industrial readiness, enabling system developers across applications to deploy the technology fast and ready. We partner with our customers and suppliers from conceptualization, design, and prototyping phases, all the way through mass production to ensure smooth and rapid deployment of TFLN photonic technology. We believe our platform is the key, in the golden age of integrated photonics, to empower humanity to the next level. We assembled a world class team covering engineering, business, and operations. We believe in the power of integrity, innovation, collaboration, and pragmatic solutions. Our diverse team thrives on challenges and is united by a shared commitment to excellence. We take pride in tackling complex challenges with curiosity, humility, and a deep sense of care for one another. Our growing team is looking for an Enterprise Applications Engineer to join us. This role offers a unique opportunity to work at the intersection of enterprise systems, workflow automation, collaboration platforms, and semiconductor manufacturing operations. We are seeking an engineer to support and enhance internal business systems, collaboration platforms, and workflow automation solutions across the organization. This role will primarily focus on Microsoft technologies including SharePoint, Power Platform, Power BI, and workflow automation solutions, while also supporting enterprise applications such as NetSuite. The ideal candidate enjoys improving operational efficiency, building scalable internal tools, and enabling business process automation across engineering and operations teams. As part of your responsibilities, you will be: • Design, develop, and maintain SharePoint-based collaboration portals, document management systems, and intranet solutions, • Build and enhance workflow automation solutions using Microsoft Power Automate and Power Apps, • Administer and support enterprise applications such as NetSuite and related business systems, • Support and optimize Microsoft 365 collaboration tools and business process workflows, • Collaborate with cross-functional teams to improve operational efficiency through automation and process improvements, • Develop dashboards and reporting tools using Power BI and other analytics platforms to support business operations and decision-making, • Support data integration and synchronization between enterprise applications and databases, • Contribute to enterprise data governance, security controls, compliance, and operational best practices, • Troubleshoot application, workflow, and integration issues while ensuring reliability and user satisfaction, • Document system architecture, workflows, processes, and operational procedures, • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, • Minimum 2 years of experience supporting enterprise applications, workflow automation, or business systems, • Strong experience with Microsoft technologies such as SharePoint, Power Automate, Power Apps, and Microsoft 365, • Experience designing and implementing workflow automation and collaboration solutions, • Experience with enterprise applications such as NetSuite or similar ERP systems, • Experience building dashboards and reporting solutions using Power BI or similar BI platforms, • Experience with database systems and SQL for reporting, integration, and analytics, • Strong analytical, troubleshooting, and problem-solving skills, • Effective communication skills and ability to collaborate across technical and non-technical teams, • Self-motivated, detail-oriented, and capable of managing multiple priorities, • Preferred Qualifications:, • Familiarity with semiconductor, manufacturing, or hardware-related business environments, • Hands-on experience administering or supporting NetSuite ERP, • Experience developing SharePoint intranet, document management, or collaboration portals, • Experience integrating enterprise systems using APIs, middleware, or automation tools, • Experience with Microsoft 365 administration and enterprise collaboration best practices, • Knowledge of scripting or programming languages such as PowerShell, Python, or JavaScript, • Experience with cloud platforms such AWS or Azure, and SaaS enterprise applications, • Familiarity with DevOps practices, CI/CD pipelines, and deployment automation, • Familiarity with AI-powered productivity tools within Microsoft ecosystems or similar platforms, • Competitive market-based compensation, • Comprehensive health coverage, including medical, vision, and dental plans for individuals and families, • 401(k) retirement plans with employee matching, • Paid Parental Leave, • Life and disability insurance, • Commuter benefits and subsidies, • Professional growth and mentorship opportunities HyperLight is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Job DescriptionBeghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. This position leads client projects in the conception, execution, and delivery of Master Data Management (MDM) systems for the commercial efforts of pharmaceutical and life science firms. Additionally, this position leads client interactions regarding existing and future MDM projects and identifies areas for future growth. We'll Trust You To: • Oversees and develops MDM projects to ensure methodological soundness; consistently delivers quality client services and drives high-quality work products within expected timeframes and on budget., • Leads project teams in the design and development of MDM projects, including the design and configuration of internal MDM platform and creation of MDM specific deliverables., • Advises on strategy, team resources, and deadlines, and assumes data investigation and platform configuration tasks as necessary to support internal team and clients., • Works with project leadership to define project scope and development approach for each project, including conducting issue analysis and hypothesis development., • Synthesizes findings, develops recommendations, and communicates results to clients and internal teams., • Assumes project management responsibilities for MDM implementation on each project with minimal supervision, including managing client communication, leading meetings, drafting agendas, managing timelines and serving as a regular point of contact for clients., • Works independently or with a team to build out data processes., • Coordinates with diverse teams, including those globally., • Frequently utilizes coding to facilitate data processing and reporting., • Provides project leadership for team members regarding process improvements, planned approaches for client requests, or transition of new deliverables., • Monitors progress, manages risk and ensures key stakeholders are kept informed about progress and expected outcomes; manages project finances by maintaining financial summaries, drafts SOWs for new work, and manages client invoices., • Assists in supporting management, including promoting employee engagement, recruiting, training, and providing ongoing education, employee mentorship and coaching; contributes to internal initiatives as needed., • Fosters an innovative and inclusive team-oriented work environment., • Coaches and mentors junior team members on their professional development and serves as their Professional Development Manager., • Grows external client engagements, owning aspects of the relationship between the client and the firm. These essential functions are not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required. Duties, responsibilities, and activities may change or new ones may be assigned at any time with or without noticeYou'll need to have:, • Bachelor’s or advanced degree with at least 8 years of relevant professional experience., • Experience implementing or supporting HCP, HCO, and payer MDM or other centralized data management solutions in the US pharmaceuticals market, • MDM experience in Oncology therapeutic area preferred, • CDW experience in US Pharmaceuticals market preferred, • Proficiency using Microsoft Office products, such as PowerPoint and Word; advanced Excel skills required., • Coding skills in Python, R or SAS required, • Advanced analytical and problem-solving skills., • Excellent verbal and written communication skills., • Strong organizational and time management skills., • Effective project management and people management skills., • Ability to work effectively with others and adapt quickly. 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 adjoe is redefining the future of mobile ads. Powered by advanced AI, first-party data and world-class engineers, we’ve perfected the offerwall experience for monetizing and scaling app publishers with solutions like Playtime and Arcade – now the fastest growing rewarded advertising channel globally – driving incremental engagement, retention, and revenue. At the same time, we’re breaking into programmatic advertising with the intelligent bidding system of adjoe Ads. Together, this ecosystem connects app developers to over 600 million users worldwide for scalable growth. Backed by a $100 million investment from Bertelsmann and operating from offices in Hamburg, Boston, Singapore, and Tokyo, adjoe is defining the next stages of app and ad experience – right now. Join us. About the Role We are seeking a Senior Solution Architect to own the product and technical dimension of adjoe’s most critical enterprise relationships. Acting as the "Technical Lead" for our top-tier partners, you will merge complex partner roadmaps with our modern stack – powered by Golang and Native SDKs – to drive technical excellence for over 100 million daily users. Your mandate is to bridge the gap between our technology and the partner’s vision. You will manage senior product and engineering counterparts, acting as the definitive point of contact for all technical discourse. This is a role of deep technical empowerment: You have direct access to our entire cloud infrastructure – from real-time monitoring and logging to our extensive data lakes – to maintain a comprehensive, full-picture view of the system state. From investigating complex architectural issues to architecting the rollout of new, high-impact features, you ensure our stacks evolve in perfect sync. Working as a key collaborator with our internal Product and Tech departments, you will act as the technical gatekeeper and advocate for our largest enterprise accounts. Client Solutions Manager, Senior Technical Account Manager What You Will Do: * Technical Strategy & Execution: Act as the primary consultant for enterprise partners, architecting the technical path to success. You will play a key role in the co-creation of new products, validating and optimizing technical solutions directly with our top partners to ensure they are battle-tested before reaching full-scale production * Orchestrate the Joint Technical Roadmap: Own the technical lifecycle of the partnership, leading complex feature rollouts and managing integration timelines * Root-Cause Architecture & Proactive Mitigation: Put on your "detective hat" to lead high-stakes troubleshooting by going beyond the surface of mobile app code to conduct deep-dive root-cause analysis, proactively identifying and solving integration blockers before they impact the partner’s revenue * Data-Driven Consultancy: Leverage SQL and Python (or others) to aggregate and visualize complex datasets, translating raw data into technical narratives that help partners reach their KPIs * Voice of the Customer: Translate partner feedback into precise technical requirements for internal Product teams to unlock global scalability Who You Are: * 5+ years of experience in a technical-client-facing role in AdTech, Big Tech, or SaaS (TAM, Sales Engineering, or Solutions Architecture), with some exposure to the mobile ecosystem * The Tech-Architect: Expert at translating high-level requirements into specifications. You are equally comfortable discussing SDK initialization and REST endpoint latency with a Senior Product Owner as you are debugging HTML/JavaScript * Analytical Powerhouse: Proficient in SQL and data visualization. You have extensive experience using analytics dashboards such as Grafana, Tableau, QuickSight, or Kibana to find the "why" behind the numbers and drive strategic technical decisions * Mobile & App Native: (Huge Plus) Familiarity with Java or experience building/supporting mobile apps with a "sixth sense" for debugging SDK integration issues * Cross-Functional Catalyst: A natural collaborator who can navigate internal Engineering & Product teams to find solutions in high-pressure environments • Nice to have: Experience with Software DevelopmentFuel for the Journey: Benefits to Support Your Ambitions, • Work-Life Package: 2 remote days per week, 26 vacation days, 4 personal days, and initially 10 sick days, flexible working hours, 3 remote weeks (1 week at a time), office in the heart of Boston., • Future & Financial Health Package: Comprehensive medical, dental, and vision plans as well as 401K match program, • Activity Package: Regular team and company events, bi-annual trips to HQ in Hamburg, Germany!, • Education Package: Opportunities to boost your professional development with courses and training directly connected to your career goals

Job Description Capgemini is a leading technology consulting company specializing in insurance product innovation, technology modernization and operational transformation. We partner with top-tier U.S. insurers to enhance personal lines product portfolios, drive growth, and modernize operations. We are seeking a Senior Property & Casualty Insurance Product Manager – Personal Lines with expertise in product rationalization, new product development, product run-offs, regulatory strategy, InsurTech enablement, and claims transformation. This role requires deep industry knowledge and strategic consulting skills to advise insurers on optimizing personal lines products, navigating compliance requirements, and implementing emerging technologies. Key responsibilities include leading product portfolio optimization, rate filings, and competitive market assessments. The candidate will also drive digital transformation initiatives, evaluating InsurTech solutions such as telematics-based pricing, AI-driven claims automation, and predictive analytics for risk segmentation. Additionally, they will support regulatory advisory projects, ensuring compliance with state DOI regulations, NAIC model laws, and evolving legislative changes. The ideal candidate will have 10+ years of P&C insurance product management or consulting experience, strong expertise in personal lines pricing, underwriting, and compliance, and familiarity with technology platforms like Guidewire, Duck Creek, and Majesco. Preferred qualifications include CPCU, AINS, ARM, Lean Six Sigma, or PMP certifications. This is an exciting opportunity to work with leading insurers on high-impact projects, leveraging data-driven strategies and InsurTech solutions to reshape the future of personal lines insurance. Join us and contribute to strategic innovation, regulatory excellence, and digital transformation in the insurance industry. Key Responsibilities: The key responsibilities of this role will include supporting Client and Internal Project Teams with a mix of the following capabilities: Strategic Consulting & Client Advisory • Act as a trusted advisor to top-tier insurers on personal lines insurance products, including homeowners, auto, renters, and umbrella., • Lead product rationalization efforts, optimizing insurers’ portfolios to reduce complexity, enhance profitability, and improve customer experience., • Drive new product development, leveraging telematics, usage-based insurance (UBI), embedded insurance, and AI-driven pricing models., • Develop and implement product run-off strategies, ensuring compliance, financial stability, and seamless transition for policyholders., • Guide insurers through regulatory advisory initiatives, ensuring product strategies align with state DOI regulations, NAIC model laws, and evolving consumer protection standards. Regulatory Compliance & Market Strategy • Advise on state and federal regulations, helping clients navigate rate filings, compliance risks, and policyholder protections., • Manage engagements related to state DOI rate filings, competitive benchmarking, and regulatory impact assessments., • Provide insights on emerging legislative changes (e.g., climate risk mandates, AI-driven underwriting guidelines, and telematics regulations). InsurTech Enablement & Digital Transformation • Partner with technology teams to implement digital underwriting, AI-based risk models, and automation tools., • Evaluate and recommend InsurTech solutions such as:, • Telematics-based pricing (e.g., Cambridge Mobile Telematics, Arity), • AI-driven claims processing (e.g., CCC Intelligent Solutions, Snapsheet), • Fraud detection & predictive analytics (e.g., Shift Technology, FRISS), • Customer experience & digital distribution (e.g., Cover Genius, Trov), • Support insurers in modernizing core platforms, working with vendors like Guidewire, Duck Creek, and Majesco. Claims Transformation & Risk Management • Assist clients in claims process optimization, leveraging automation, AI, and predictive analytics for faster claims adjudication., • Develop strategies for fraud detection, litigation management, and claims efficiency improvements., • Work with claims and risk teams to align product design with evolving risk trends (e.g., climate change impact, cyber risks in personal lines, and increased litigation costs). Project Leadership & Stakeholder Engagement • Lead cross-functional consulting engagements involving actuarial, underwriting, IT, claims, and distribution teams., • Develop and present strategic recommendations to C-suite executives, supporting data-driven decision-making., • Manage multiple client engagements, ensuring timely delivery, regulatory alignment, and measurable business impact. Requirements • Education: Bachelor’s degree in Business, Finance, Insurance, or a related field (MBA, CPCU, or AINS preferred)., • Experience: 5+ years in P&C insurance product management, consulting, or strategy roles, with a strong focus on personal lines., • Industry Certifications (Preferred):, • CPCU (Chartered Property Casualty Underwriter) – Deep expertise in P&C insurance., • AINS (Associate in General Insurance) – Strong foundational knowledge of insurance operations., • ARM (Associate in Risk Management) – Specialization in risk assessment and mitigation., • Lean Six Sigma or PMP – For project management and operational efficiency., • Technical Expertise:, • Deep knowledge of personal lines product development, pricing, underwriting, and risk management., • Experience with product rationalization, run-off strategies, and market repositioning., • Strong understanding of state insurance regulations, rate filings, and DOI compliance., • Familiarity with InsurTech solutions, AI-driven pricing models, and claims automation technologies., • Proficiency in data analytics tools (e.g., SQL, Python, Tableau, Power BI) for actuarial and risk modeling., • Consulting & Leadership Skills:, • Proven ability to develop strategic recommendations and present to C-suite executives., • Strong project management skills with experience leading cross-functional teams in product transformation., • Excellent problem-solving, analytical, and communication abilities., • Expertise in Agile methodologies for product development and market deployment., • Use of Lean Six Sigma frameworks for process optimization and operational efficiency. This position comes with competitive compensation and benefits package: • Competitive salary and performance-based bonuses, • Comprehensive benefits package, • Career development and training opportunities, • Flexible work arrangements (remote and/or office-based), • Dynamic and inclusive work culture within a globally renowned group, • Private Health Insurance, • Retirement Plans, • Paid Time Off, • Training & Development About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55+ year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported €22.5 billion in revenues in 2023.

Job Description Responsibilities Job Summary The RIS Data Migration Engineer is responsible for overseeing and executing the migration of data between Radiology Information Systems (RIS), ensuring data integrity, accuracy, and compliance with regulatory standards. The Data Migration Engineer will work closely with IT, clinical, and administrative teams to ensure seamless transitions of data from legacy systems to modern platforms, while optimizing workflows and maintaining the highest standards of patient data privacy and security. Essential Duties and Responsibilities • Develop and execute comprehensive strategies for RIS data migration., • Collaborate with stakeholders to gather and analyse migration requirements., • Extract clinical, operational, and administrative data from legacy RIS systems., • Assess and map legacy data structures, including patient demographic records, diagnostic radiology reports, scanned documents, and future appointments., • Assist in assembling and loading RIS system’s master lists including referring physicians, insurance providers, procedure codes, billing codes, organizational structures such as practices, sites, and rooms, and other master look-up tables., • Use ETL tools to clean, transform, and prepare data for migration., • Provide post-migration support for product go-live implementations., • Partner with cross-functional teams, including customers, IT staff, compliance officers, and third-party vendors., • Document the entire migration process, including methodologies, tools, and reports., • Train staff on how to manage, access, and use data in the new RIS system., • Perform comprehensive validation to ensure data completeness and resolve inconsistencies., • Conduct post-migration verification and prepare detailed reports for stakeholders., • Identify and resolve migration-related issues, such as data inconsistencies or system compatibility challenges. PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned and management retains the right to add or change duties at any time. Minimum Qualifications, Education and Experience • Bachelor’s degree in information technology, computer science, healthcare informatics, or related field; or equivalent professional experience, • 3+ years proven experience in data migration within a healthcare environment, • Hands-on experience with data manipulation and/or migration within RIS, PACS, HIS, and EMR systems., • Proficiency in ETL processes, database structures, SQL, and healthcare data standards., • Proficient SQL skills and experience with database management. Proprietary software product is supported by MS SQL Server. Proficiency with Transact SQL, triggers, functions, stored procedures, database schema design, SQL agent jobs, and ad hoc querying., • Using skills above, work with various formats of data such as CSV and other delimited text files, Excel data, SQL databases, Word docs, BMP/JPG files, PDF files. Ad hoc manipulation such as converting one format to another, rename files, move files, parse files, clean data., • Excellent technical communication and interpersonal skills, with the ability to effectively communicate with stakeholders at all levels of the organization, • Strong problem-solving and troubleshooting abilities, • Ability to adapt to constantly changing projects. This role requires a high level of self-motivation, self-management, initiative, and the ability to prioritize multiple tasks effectively. Occasional off-hours work is required to migrate during off-peak system times., • Attention to detail with a commitment to data accuracy and security. Comfort and willingness to handle and analyze and scrutinize large medical record datasets is a critical aspect of the job to maintain high data quality standards, • Proficiency in C# for Windows desktop programming or Python, or similar programming languages to enhance in-house data migration tools., • Familiarity with Linux OS and scripting (Python, Pearl, VIM, BASH) to assist with ancillary data migrations taking place in Linux environments., • Mirth skills, particularly with HL7 Quality Standards • Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors., • Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance., • Follows all local, regional and country laws concerning employment., • Follows all DeepHealth policies and procedures., • Follows data privacy, compliance, safety and confidentiality standards at all times., • Practices universal safety precautions., • Promotes good public relations on the phone and in person., • Adapts and is willing to learn new tasks, methods, and systems., • Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines., • Completes job responsibilities in a quality and timely manner. Travel This position requires domestic / international travel up to 10%. Working Environment Remote Physical Demands This position often requires sitting, standing, walking, bending, twisting, reaching with hands and arms, using hands and fingers, handling, or feeling, speaking, listening, and high-level cognitive thinking. Also, must be able to lift up to 10 pounds occasionally. Salary range $100,000-$120,000

Job Description Plastik AI is harnessing the power of artificial intelligence to revolutionize the plastic and plastic compounding industries, bridging the gap between engineers using plastics and manufacturers creating them. At the core of our platform is Herman, an advanced AI agent designed to match product requirements with ideal plastic compounds. Herman leverages a combination of public and proprietary data to enable rapid and precise material recommendation, which can be easily ordered within a marketplace. We are looking for a skilled Full-stack Software Engineer to play a key role in building the front-end and back-end infrastructure for tools and interfaces that make Herman accessible to engineers and manufacturing companies. In this role, you will mainly drive and implement the design, development, test, and delivery of UI features that expose the portfolio’s rich capabilities for users while providing exceptional easy-to-use experiences. Our ideal candidate has more experience with front-end development but is capable of interfacing with the entire stack for rapid feature deployment. We see a combination of these skills as crucial for helping us meld our novel user experiences with AI Agents to enable easy plastic selection, sourcing, and logistics. This transformative approach unlocks new possibilities in plastics innovation, enabling faster, smarter, and more efficient product development and material discovery. As part of our cross-disciplinary team, you will work alongside MIT-trained engineers, scientists, and business professionals to build a groundbreaking AI platform for the plastics industry. Join us in transforming how the world approaches plastic materials through cutting-edge technology and innovation. Our stack: Javascript, React, React.js, Postgres, AWS, Kubernetes, Python, PyTorch Job Responsibilities Collaborate with software, the executive team, and developers to automate business-critical workflows. • Web Application Development – Owning and developing all aspects of the front-end web applications, infrastructure, and analytics. Implement UIs with clean, responsive, and accessible Javascript, Typescript, HTML, and CSS as needed to support the back-end team. Work with other engineers and designers to bring UI designs from concept to implementation through rapid prototyping and evaluation of design ideas., • Data & Analytics – Develop custom dashboards, automate reports, and provide insights for data-driven decision-making. Write automated tests for the continuous delivery pipeline and meet development quality objectives., • Software development and integration - Integrating our application with various third-party applications, systems, and APIs to ensure seamless data flow and process automation., • Project management and leadership - Collaborating with cross-functional teams, including business analysts, project managers, and quality assurance, to gather requirements, provide technical insights, and ensure successful project delivery., • Troubleshooting and support - Identifying, diagnosing, and resolving technical issues and bugs within our applications to ensure a smooth user experience. Creating and maintaining technical documentation for our custom modules, and integrations for future reference and knowledge sharing., • Bachelor’s or Master’s degree in Design, Computer Science, or related fields, or equivalent professional experience., • 5+ years of experience as a Front-end developer with experience building out back-end services., • Expertise in web application development – customization, module development, and system administration., • Strong programming skills in JavaScript, Python, and PostgreSQL., • Experience building APIs, databases, and front-end development., • Experience with server-side web application development. Full-stack development experience preferred., • Familiarity with IT security, cloud hosting, CI/CD, and DevOps best practices., • Competitive salary and equity options., • Health insurance and other benefits., • A collaborative and innovative work environment with opportunities for professional growth., • The chance to work on transformative technologies in the plastics and AI space.

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. 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$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 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 At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business. As a Sr. AI Engineer at Klaviyo, you'll play a key role in designing and building scalable backend systems and user experiences that power our AI products and AI agent solutions. You'll partner closely with product managers, machine learning engineers, and data scientists, to drive real-world impact at scale. This is a backend-heavy role with opportunities to influence architecture, async processing pipelines, distributed systems, and more. How You Will Make a Difference * Design and build backend systems that support scaling our AI solutions for 167K+ customers. * Develop robust, reliable and scalable data collection and processing pipelines for machine learning models to train and consume. * Develop robust, reliable and scalable services to serve AI models in production environments. * Contribute to evolving our agentic architecture — making our AI agents more self-sufficient and performant. * Contribute to a culture of ownership, experimentation, and customer-centric product thinking. Who You Are * 5–7 years of professional experience in software engineering, with a strong focus on backend systems and distributed architectures. * Have hands-on experience building and deploying generative AI and agentic AI applications into production, with expertise in prompt engineering, few-shot learning, fine tuning and evaluation. * Experienced backend engineer with a strong track record of building scalable, distributed systems, especially in the service of AI agent capabilities. * Proficient in Python and modern backend frameworks (FastAPI, Django preferred). * Experience creating human and automated evals to ensure high AI model quality. * Proficient in big data tools such as Apache Spark and Hadoop. * Deep experience with asynchronous processing and distributed task queues (Celery, Kafka, SQS, RabbitMQ, Redis). * Strong understanding of database technologies and ORMs (SQLAlchemy, Alembic). * Comfortable with cloud-native architectures (AWS) and container orchestration (Kubernetes); can manage infrastructure and CI/CD pipelines. * Skilled at designing and building robust APIs. * Able to operate with a high degree of autonomy, handle ambiguity, and thrive in a fast-moving, startup-like environment. * Driven by curiosity. You're someone who learns and stays up to date with this rapidly evolving field. * Comfortable collaborating directly with product managers and customers to shape solutions. Nice to Have * Trained ML models in the past and deployed them in production systems to generate impact to businesses. * Experience in reinforcement learning. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$148,000—$222,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionStaff RF Systems Engineer About SimpliSafe We're a high-tech home security company that's passionate about protecting the life you've built and our mission of keeping Every Home Secure. And we've created a culture here that cares just as deeply about the career you're building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don't just want you to work here. We want you to grow and thrive here. We're embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday and Wednesday, to work together in person, and teams can choose where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done. Why are we hiring? Well, we're growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure. What You'll Do As a Staff RF Systems Engineer, you will be a key technical leader responsible for RF product development and validation at SimpliSafe. You help design and build SimpliSafe's RF capabilities in our goal to have the best-in-class wireless connectivity in the industry. You will work closely with the engineering teams to choose chipsets as well as optimize mechanical and electrical designs for RF performance. You will also lead and guide our ODMs design partners in the design, test, and qualification on new products. Responsibilities: • Establish and maintain the performance metrics for all wireless protocols (Wi-Fi, BLE, Radar, and Sub-GHz), ensuring they align with product requirements., • Build SimpliSafe's RF testing capabilities including test plans and equipment selection., • Lead and audit ODM design partners through the test and qualification phases. Review their test reports with a critical eye to ensure no corner cases are missed., • Lead the characterization of wireless chipsets and antenna systems to validate vendor claims and ensure suitability for SimpliSafe's unique hardware constraints., • Act as the RF consultant to Electrical and Mechanical teams, validating that board layouts and mechanical enclosures don't degrade RF integrity., • Review PRDs, and author RF technical requirements to meet product requirements., • Drive the development of automated test scripts to increase validation coverage and repeatability., • Deep expertise in:, • Validating radio and front-end performance across 400MHz to 70GHz bands, with a specific focus on high-reliability consumer electronics., • Proven ability to translate Product Requirements into technical RF specifications., • Advanced skills in debugging desense, interference, and coexistence issues in multi-radio environments., • Encoding methods and modulation schemes such as OFDM, Frequency hopping, QAM, GFSK, UWB, convolution encoding, STBC., • Expert-level operation of VNA, Spectrum Analyzers, Signal Generators, and Wideband Radio Communication Testers (i.e. IQxel, LitePoint, or Rohde & Schwarz)., • RF emission requirements and testing for FCC, ETSI, Radio and Emission qualifications., • Debugging RF issues. Setting up, running and evaluating of TIS, TRP, BER, Return Loss, Desense, radiation patterns, etc, • Bachelor's or Master's degree in RF/Electrical Engineering, or a closely related field., • 5+ years of progressive experience in RF design, development, and validation, with a proven track record of bringing products to market., • RF simulation tools like CST or HFSS., • Familiarity with common MAC Layer protocols. WiFi, BLE, Zigbee, Z-wave etc or be willing to learn and build expertise in this area., • Familiarity with MAC level protocol analyzers., • Familiarity with cellular communications., • Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them., • Aim High - Always challenging ourselves and others to raise the bar., • No Ego - Maintaining a "no job too small" attitude, and an open, inclusive and humble style., • One Team - Taking a highly collaborative approach to achieving success., • Lift As We Climb - Investing in developing others and helping others around us succeed., • Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment. What We Offer • A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive, • A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here), • Free SimpliSafe system and professional monitoring for your home. This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees' job-related skills, experience, qualifications, work location, and other relevant business factors. Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here. We're committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values. We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact .

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI is redefining autonomous aviation with cutting-edge AI and GPS/RF-denied navigation technologies. Now, we’re building our next-generation aircraft, XBAT, like no other—one that will push the boundaries of innovation and performance. As a Component Engineer at Shield AI, you’ll own the selection, qualification, and lifecycle management of electronic components across our products. You will drive component decisions that reduce risk, control cost and ensure long-term product reliability and survivability. This role sits at the intersection of engineering, supply chain and reliability. What you'll do: • Own component data and governance in PLM (part creation, attributes, AML/AVL, lifecycle states), • Review and approve new component requests, • Define baseline quality requirements for COTS components and enforce them through design BOM reviews, • Monitor and assess PCNs and lifecycle changes (NRND/EOL), and drive mitigation actions through Engineering Change Orders (ECOs), • Partner with Electrical Engineering to select components that meet performance, cost, and availability targets, • Build and maintain preferred parts lists and approved vendor lists (AVL), • Support supply chain with alternate part evaluations and second-sourcing strategies, • Engage directly with suppliers to resolve technical questionsRequired qualifications:, • B.S. in an engineering field., • 5+ years of relevant experience, • Understanding of Product Lifecycle Management (Arena, Teamcenter), ECAD tools (Altium) and structured component libraries, • Strong judgment in balancing performance, cost and supply chain risk, • Demonstrated track record of ownership, high standards, and effective collaborationPreferred qualifications:, • Degree in electrical engineering or computer science, • Familiar with industry-standard component qualification process (AEC-Q, NASA, JEDEC, MIL, etc), • Knowledge of electrical component manufacturing processes and common failure modes., • Proficiency in Python/SQL Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us 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 Modulate is the leader in conversational voice intelligence. We enable enterprises to deeply understand how people communicate and take timely action based on those insights. Our products help detect harm, prevent fraud, and build safer, more trusted online and real-world voice environments. We are building a Conversation Intelligence Platform — APIs, workflows, and applications that bring voice understanding to customers at enterprise scale. We’re looking for our first Site Reliability Engineer to own and scale the reliability of our production systems. This role will be critical in ensuring high availability across our Developer APIs platform and Enterprise products, while building the foundations for monitoring, incident response, and operational excellence as we grow. Your Impact You will play a foundational role in ensuring Modulate’s systems are reliable, scalable, and enterprise-ready. * Own the reliability and availability of Modulate’s production infrastructure * Build monitoring, alerting, and incident response systems from the ground up * Establish sustainable on-call practices that balance reliability with team health * Partner with engineering and leadership to shape infrastructure and reliability strategy * Help define how Modulate delivers enterprise-grade uptime and performance What You Will Do * Own and operate production systems supporting Modulate’s APIs and enterprise products * Design and implement monitoring, alerting, and observability systems * Lead incident response, root cause analysis, and postmortem processes * Build and improve on-call rotations and operational workflows * Collaborate with engineers to deploy, maintain, and scale distributed systems * Partner with leadership on infrastructure decisions, roadmaps, and reliability goals * Evaluate and support deployment models including cloud, on-prem, and hybrid environments * Continuously improve system performance, resilience, and scalability What We Are Looking For * Experience deploying and maintaining production software systems * Experience building monitoring and alerting systems for production environments * Experience with on-call rotations and incident response * Strong experience with AWS, Python, and Linux * Familiarity with tools such as CloudWatch, SNS, PagerDuty, or similar technologies * Strong debugging, systems thinking, and problem-solving skills * Ability to communicate effectively during high-pressure incidents * Experience working in fast-paced or early-stage environments Nice to Have * Experience with AWS services such as EC2, load balancers, RDS, SQS, SES, and CloudWatch * Experience with infrastructure-as-code (e.g., Terraform, CloudFormation) * Experience supporting high-scale, distributed systems * Familiarity with hybrid or on-prem deployment models Benefits At Modulate, we prioritize people and sustainability—because doing great work requires feeling supported and safe. Some of our key benefits include: * Competitive salary + equity * Full health, dental, and vision coverage * Flexible PTO, with a strong culture of taking it * Weekly team lunches with dietary accommodations * Hybrid work: core in-office days with flexible remote options * Regular leadership and industry learning sessions * Support for career development and continued learning * Up to 8 weeks work-from-anywhere policy * A deeply inclusive, human-centered culture Pay Transparency Modulate believes in transparency as a cornerstone of equity and trust. Compensation for this role is based on seniority, skills, and experience. Salary: $150,000 - $200,000 Equity: Offered Other perks: HSA, FSA, 15 holidays, professional growth resources About Modulate Modulate is on a mission to make voice a force for good online. Our tools help communities thrive by proactively detecting toxic behavior, protecting user identity, and empowering safety teams. We’re trusted by leaders in gaming and beyond—and we’re growing fast. We believe that great cultures don’t just happen. That’s why we’ve built a foundation of intentional systems: from bias-reducing hiring practices to transparent pay to tools that help teams collaborate across communication styles. At Modulate, we treat people like people—and we’re building technology that does the same. Ready to join us? Apply here or reach out directly—we’re excited to meet you. A quick note as you apply We kindly ask that you apply through the website rather than emailing . For the questions “Your fit for the role,” “Your values/goals,” and “Why Modulate?” on our application form, we kindly ask that you focus your responses on experiences and motivations that directly relate to the role. Please avoid including details that would reveal protected demographic information (such as race, age, gender, ethnicity, or sexual orientation), as we strive to assess all candidates equitably and without bias. We also want to hear your authentic voice. While it can be helpful to use tools to support your thinking, we ask that your responses reflect your own perspective. 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 At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. As a Staff Electrical Engineer on the WHOOP Hardware team, you will lead the architecture, design, and delivery of complex embedded hardware subsystems within highly integrated human performance products. You will work closely with Electrical, Mechanical, Firmware, Manufacturing, Supply Chain, and Software teams to translate system-level requirements into robust, production-ready hardware. WHOOP products integrate wireless connectivity, sensing, power management, and user-facing functionality in a small, low-power form factor, requiring strong mixed-signal design fundamentals and rigorous systems thinking. This role emphasizes end-to-end subsystem performance, including power, timing, noise, latency, interoperability, and manufacturability. You will be a hardware technical leader who can define requirements, influence architecture choices, and partner effectively across bring-up, tuning, validation, and production ramp. This role is well suited to an engineer with deep expertise in at least one electrical engineering domain and the curiosity and judgment to expand into adjacent areas as product needs evolve. RESPONSIBILITIES: • Lead the architecture and delivery of complex embedded hardware subsystems; own electrical specifications, performance metrics, risks, and execution plans., • Design low-power, high-performance mixed-signal hardware from component selection through system integration, including schematic capture and PCB layout/review., • Drive cross-functional tradeoffs across performance, power, size, thermal behavior, coexistence, reliability, and manufacturability in tightly integrated wearable products., • Define and verify subsystem requirements related to timing, synchronization, power modes, noise, latency, calibration, and interface behavior., • Translate system and product goals into measurable electrical requirements, validation plans, and subsystem-level success criteria., • Partner with firmware, software, and algorithm teams to define interfaces, control/data flows, observability hooks, and validation strategies for real-time embedded systems., • Lead bring-up, debug, and characterization using lab instrumentation; correlate bench behavior with device telemetry and end-to-end product performance., • Build analysis and validation workflows using Python, MATLAB, or equivalent tools, including test vectors, golden datasets, and automated characterization/regression methods., • Take primary ownership of a subsystem aligned with prior depth while stepping into adjacent technical areas as product needs evolve., • Mentor other engineers through design reviews, debugging strategy, and disciplined engineering execution., • Travel up to 15% domestically and internationally to partners, suppliers, and contract manufacturers.QUALIFICATIONS:, • BS or higher in Electrical Engineering or a related field., • 9+ years of relevant hardware engineering experience, including 5+ years operating at a senior level or above with meaningful subsystem ownership., • Proven ownership of embedded electronics from architecture through schematic, PCB layout/review (for example, Altium), bring-up, validation, and production release (for example, Arena)., • Strong circuit design fundamentals spanning mixed-signal design, power, and digital interfaces in low-power embedded systems., • Demonstrated success delivering robust, interference-resilient, highly integrated subsystems under tight power, size, and performance constraints., • Experience defining and verifying timing, synchronization, interface, and performance requirements for embedded systems., • Hands-on debug and characterization expertise using standard lab instrumentation such as oscilloscopes, logic analyzers, spectrum analyzers, and power analysis tools., • Strong systems instincts and the ability to translate product goals into hardware requirements, architecture decisions, interface definitions, and validation plans., • Effective cross-functional partner to firmware, software, mechanical, manufacturing, and algorithm teams., • Data-driven validation mindset and tooling experience in Python, MATLAB, or equivalent to analyze captured datasets, automate characterization, and support regression testing., • Demonstrated ability to lead through ambiguity, make sound engineering tradeoffs, and drive complex technical decisions to closure., • Depth in at least one complex embedded subsystem area, along with the ability and appetite to expand into adjacent domains., • Experience building miniaturized wearables or other highly integrated wireless consumer devices desired., • Experience bringing new platform capabilities or first-generation features from concept through production desired., • Experience owning one or more complex subsystems in products with demanding power, packaging, thermal, or coexistence constraints desired., • Prior success working across hardware, firmware, and software boundaries to tune end-to-end system performance desired., • Track record of growing beyond original domain expertise to lead adjacent technical areas desired., • Experience supporting manufacturing bring-up, supplier engagement, and design maturity through production ramp desired. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $165,000-$195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. At Klaviyo, the ARIA (Applications, Resources, Intelligence, and Automations) team is building the AI systems that transform how our employees work. We are looking for a Senior AI Engineer to design, build, and scale production-grade LLM integrations and AI-powered automation tools from the ground up. This role sits at the intersection of applied AI research and full-stack software engineering. You will own everything from LLM integration architecture and RAG system design to CI/CD pipeline management and production observability. If you want to build AI that real people use at scale every day, this is the role for you. You will report into the Director of AI and App Engineering and …. How you'll make a difference: • Design and build LLM-powered applications: Architect and develop production-grade systems leveraging large language models (GPT-4, Claude, Mistral, Llama) for internal automation, knowledge retrieval, and intelligent workflow assistance., • Build and maintain AI integration pipelines: Design robust, scalable API integrations between AI models and internal systems such as HRIS, ticketing, CRM, and knowledge bases, ensuring reliability, low latency, and high availability., • Develop full-stack AI features end-to-end: Own the complete development of AI features across the stack from backend model orchestration and API layers to frontend interfaces that make AI accessible to non-technical employees., • Architect and manage CI/CD pipelines for AI systems: Build and maintain automated deployment pipelines for AI models and services, including model evaluation frameworks, A/B testing infrastructure, and safe rollout strategies., • Implement RAG and retrieval systems: Design and build retrieval-augmented generation systems grounded in Klaviyo internal knowledge, ensuring accuracy, relevance, and up-to-date responses at scale., • Evaluate and fine-tune AI models: Lead benchmarking, evaluation, and fine-tuning of foundation models for Klaviyo use cases, including prompt engineering and parameter-efficient fine-tuning techniques., • Establish AI engineering best practices: Define coding standards, testing frameworks, and architectural patterns for AI development at Klaviyo, enabling the team to ship reliable AI features consistently., • Build AI observability and monitoring tooling: Instrument AI systems with latency monitoring, output quality evaluation, hallucination detection, cost dashboards, and production alerting., • Collaborate with Product and Data Science: Work closely with PMs, data scientists, and ML engineers to translate requirements into technical implementations, maintaining a tight feedback loop between experimentation and production., • 3+ years of software engineering experience, with at least 2 years focused on building AI, ML, or LLM-powered systems in production., • Deep expertise with large language models such as OpenAI, Anthropic, Mistral, or Llama, and experience integrating them into production applications via API., • Strong full-stack engineering skills across Python (FastAPI, Flask, or Django) and TypeScript or JavaScript, with experience in modern frontend frameworks., • Proven experience designing and building CI/CD pipelines for software or ML systems using tools such as GitHub Actions, Jenkins, or CircleCI., • Experience with RAG systems, vector databases (Pinecone, Weaviate, pgvector), and embedding models., • Proficiency with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code tools such as Terraform or Pulumi., • Experience with prompt engineering, model evaluation frameworks, and LLM observability tools such as LangSmith or Weights and Biases. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$112,000—$168,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description Mission: We are seeking a highly skilled and motivated Principal Engineer, Technical Lead to lead our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and leadership, with experience in developing and deploying advanced data analysis and large scale orchestration frameworks. At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior. The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI's. The team works together with all other perception and ML teams to develop the metrics and analyze results. What You'll Do: • Lead a team of engineers with a diverse skill set to deliver critical software supporting the development of the autonomous vehicle ML models and software., • Drive innovation by researching and developing new large scale data warehousing and analysis., • Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software., • Build high-quality datasets to improve ML products through training & edge case validation., • Provide statistical depth on model performance & generalization through rigorous error and change analysis., • Provide technical leadership and mentorship to the team, fostering a culture of collaboration and continuous improvement., • Bachelor's or Master's degree in Computer Science, Data Science, or a related field., • Excellent leadership, communication, and problem-solving skills., • Proven record leading a small diverse dedicated team supporting a large user base., • Experience in machine learning, data mining, and statistical analysis., • Proven experience in developing and deploying large scale cloud frameworks., • Strong programming skills in Python., • Experience with large-scale data processing and distributed computing technologies. Bonus Points: • Ph.D. in Computer Science or a related field., • Experience with cloud platforms such as AWS, Google Cloud, or Azure., • Experience with machine learning in the autonomous driving domain., • Publications or contributions to the AI/ML community. 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$200,000—$275,000 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 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 DescriptionThe Elevator Pitch Join Evolv as Senior Data Infrastructure Engineer in the Machine Learning & Sensors organization, responsible for building and operating the scalable, secure, and reliable data pipelines that power our AI/ML research and production systems. In this role, you will own the end‑to‑end data lifecycle—from collection on thousands to millions of edge devices, through cloud ingestion and processing, into a centralized data factory enabling model training, evaluation, and continuous improvement. Data is the backbone of our mission to deliver best‑in‑class AI‑based weapon detection systems. You will ensure that data flows seamlessly across geographies, devices, and cloud systems while meeting strict requirements for quality, privacy, security, and scale. This role is ideal for someone who thrives at the intersection of distributed systems, cloud pipelines, and ML‑driven data needs. Success in the Role: What performance outcomes will you work toward in the first 6–12 months? In the first 30 days: • Develop a deep understanding of existing edge‑to‑cloud data pipelines and deployment environments., • Review current data ingestion flows, governance policies, and cloud infrastructure., • Assess pain points in data reliability, quality, and operational scalability., • Build relationships with AI/ML, data science, field operations, and cloud engineering teams., • Design and implement improvements to core ingestion, validation, and processing pipelines., • Deploy scalable data pipeline with AWS‑based components (S3, EC2, Lambda, Glue, Step Functions, SageMaker integrations)., • Introduce automated validation workflows to detect corruption, missing metadata, or malformed data., • Design and implement automated model evaluation, model training and model improvement pipeline to speed up experiments, • Own the entire lifecycle of mission‑critical data pipelines supporting AI/ML research and production., • Architect next‑generation edge‑to‑cloud data systems that scale across millions of devices., • Define and enforce data governance frameworks including retention, access control, privacy, and lineage., • Enable ML teams to rapidly experiment through high‑quality, discoverable, versioned datasets. The Work: What type of work will you be doing? What assignments, requirements, or skills will you be performing on a regular basis? End‑to‑End Data Pipeline Ownership: • Design, build, and maintain both research and production data pipelines spanning edge devices, cloud services, and centralized data platforms., • Own the full data lifecycle: collection, ingestion, processing, obfuscation, versioning, access, retention, and retirement., • Edge‑to‑Cloud Data Flow:, • Develop resilient ingestion pipelines capable of handling variable connectivity and device heterogeneity., • Support secure data transfer from the field to cloud storage systems., • Collaborate with field ops to enhance data coverage, observability, and operational robustness., • Data Quality, Governance & Compliance:, • Implement privacy‑preserving transformations and obfuscation pipelines., • Build automated cleaning/validation steps to remove duplicates, detect corruption, and validate metadata., • Provide scalable data services for model training, evaluation, and research experimentation., • Support continuous data refresh and retraining workflows., • Integrate with data labeling services and annotation workflows., • Build and optimize pipelines using AWS services (S3, EC2, SageMaker, Lambda, Glue, Step Functions)., • Partner with AI/ML engineers, scientists, and data scientists to understand data requirements., • Translate feedback into automated improvements in data collection, labeling, and consumption., • Design and manage data schema, data versioning and data factory updates, • Architect systems that scale globally across millions of devices., • Ensure the data platform remains flexible for research and reliable for production operations. Qualifications: Minimum Qualifications: • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, or related field., • 2-3+ years of experience building production data pipelines and data platforms that support AI/ML models., • Strong proficiency in Python, C++ and distributed data processing frameworks., • Hands‑on experience with AWS services including S3, EC2, SageMaker, and Glue., • Experience designing data systems that support large‑scale ML training and experimentation., • Knowledge of data governance, access control, and lifecycle management., • Experience collaborating with ML, data science, operations, and cloud teams. Preferred Qualifications: • Experience building pipelines spanning edge devices and cloud systems., • Background working with large‑scale sensor, image or IoT data., • Familiarity with data labeling tools and annotation workflows., • Experience implementing dataset versioning, lineage, and reproducibility systems., • Understanding of privacy, compliance, or regulated data environments., • Experience supporting global, multi‑region data platforms. Example Problems You Will Own • Design a resilient global ingestion pipeline aggregating sensor data from millions of devices., • Build ML‑ready data services enabling easy discovery, versioning, and consumption of datasets., • Implement automated validation and cleaning workflows that dramatically reduce bad data., • Define and enforce lifecycle and governance policies across research and production datasets. What is leadership like for this role? What is the structure and culture of the team? • You will join our R&D organization, reporting directly to VP of ML and sensors. In this role, you will interface with cross-disciplinary teams of highly skilled and autonomous engineers with expertise in Electromagnetics, Computer Vision, and AI. Our R&D organization includes more than 100 dedicated developers, engineers, scientists, managers and directors, each bringing deep technical knowledge and a strong culture of collaboration and support., • The team culture is one based on building trust, collaboration, on-going development through kindness, authenticity, courage, drive, and fun! Where is the role located? This role is based at our headquarters in Waltham, Massachusetts. Due to the nature of our software-enabled hardware products, this position requires a minimum of 60% or 3 days per week on-site work. Candidates MUST live within commutable distance to our office in Waltham, MA What is the salary range? The base salary range for this full-time position is $129,000 - $209,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. · Please note that the compensation details listed in role posting reflect the base salary only, and do not include commission, equity, or benefits Benefits At Evolv, we’re on a mission to help make public spaces safer through innovative security technology. So, we're looking for future teammates who embody our values, people who: • Do the right thing, always;, • Put people first', • Own it;, • Win together; and continue to, • Be bold, stay curious. Our Benefits Include: • Equity as part of your total compensation package, • Medical, dental, and vision insurance, • Health Savings Account (HSA), • A 401(k) plan (and 2% company match), • Flexible Paid Time Off (PTO)- take the time you need to recharge, with manager approval and business needs in mind, • Quarterly stipend for perks and benefits that matter most to you, • Tuition reimbursement to support your ongoing learning and development Evolv is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. If you need a reasonable accommodation as part of the job application process, please connect with us at . Evolv participates in E-verify for all employees after the completion of Form I-9.

Job Description Modulate is the leader in conversational voice intelligence. We enable enterprises to deeply understand how people communicate and take timely action based on those insights. Our products help detect harm, prevent fraud, and build safer, more trusted online and real-world voice environments. We are building a Conversation Intelligence Platform — APIs, workflows, and applications that bring voice understanding to customers at enterprise scale. We’re looking for a Machine Learning Operations Engineer to own and scale the production inference systems behind Modulate’s machine learning models. This role will focus on ensuring high availability, reliability, and efficiency of deployed models across our APIs and enterprise products as we rapidly grow in customer usage and model demand. Your Impact * Own the reliability and performance of ML model inference systems in production * Ensure high availability of deployed models across APIs and enterprise products * Build systems to handle scaling, load variability, and production traffic growth * Reduce operational burden through better tooling, automation, and processes * Help define how Modulate runs ML systems at scale with reliability and efficiency What You Will Do * Deploy, monitor, and maintain production machine learning inference systems * Oversee fleets of inference machines and ensure system health and performance * Design monitoring, alerting, and incident response systems for ML workloads * Participate in on-call rotations and lead incident response and debugging * Build systems and processes for scaling inference infrastructure under variable load * Improve reliability and observability of production ML services * Collaborate on infrastructure-as-code for production deployments * Support or contribute to GPU-based training and inference infrastructure * Work closely with ML and engineering teams to ensure smooth model deployments * (Optional growth area) Optimize model inference performance and latency What We Are Looking For * Experience deploying and maintaining production software systems * Experience building monitoring and alerting systems for production environments * Experience with on-call rotations and incident response * Strong experience with AWS, Python, and Linux * Exposure to PyTorch or similar ML frameworks * Experience working with GPU-based applications and basic GPU tooling (drivers, runtime, monitoring) * Strong debugging and systems thinking skills * Ability to operate calmly in production incident environments Nice to Have * Experience with ML model serving systems or dedicated model servers * Experience monitoring GPU performance for inference workloads * Experience optimizing machine learning model inference * Familiarity with audio or multimedia data (codecs, streaming, real-time systems) * Experience with infrastructure-as-code (e.g., Terraform, CloudFormation) Benefits * Competitive salary + equity * Full health, dental, and vision coverage * Flexible PTO with strong culture of taking it * Weekly team lunches with dietary accommodations * Hybrid work with core in-office days and flexible remote options * Leadership and technical learning sessions * Career development and continued learning support * Up to 8 weeks work-from-anywhere policy * A deeply inclusive, human-centered culture Pay Transparency Modulate believes in transparency as a cornerstone of equity and trust. Compensation for this role is based on seniority, skills, and experience. * Salary: $150-$200K * Equity: Offered * Other perks: HSA, FSA, 15 holidays, professional growth resources About Modulate Modulate is on a mission to make voice a force for good online. Our tools help communities thrive by proactively detecting toxic behavior, protecting user identity, and empowering safety teams. We’re trusted by leaders in gaming and beyond—and we’re growing fast. We believe that great cultures don’t just happen. That’s why we’ve built a foundation of intentional systems: from bias-reducing hiring practices to transparent pay to tools that help teams collaborate across communication styles. At Modulate, we treat people like people—and we’re building technology that does the same. Ready to join us? Apply here or reach out directly—we’re excited to meet you. A quick note as you apply * Please apply through the website rather than emailing * For application questions (“Your fit for the role,” “Your values/goals,” “Why Modulate?”), focus on relevant experience and motivations * Avoid including protected demographic information * Keep responses authentic and in your own voice 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 From our nation’s earliest days, ABCorp has been a trusted force in security and innovation. In 1795, the federally chartered Bank of the United States entrusted American Bank Note Company with the critical mission of producing counterfeit-resistant currency for the young Republic. This early history established our company, now known as ABCorp, as a pioneer in secure printing, with innovations that served not only American banks but also international clients, a legacy that shaped our evolution into a global leader in secure manufacturing. What began with protecting America’s financial foundation now drives cutting-edge solutions that safeguard organizations worldwide. Today, ABCorp sits at the intersection where authentication, payments, and secure access embrace next-gen (including additive 3D) manufacturing to meet the demands of a digitally driven world. We have built 230 Years of Expertise – no one knows secure manufacturing and authentication better, and no one has done it longer. We maintain global reach and compliance with eight locations around the world, and we’ve been trusted by fintechs, financial institutions, healthcare companies, governments, and brands across 120+ countries. We deliver end-to-end innovation through high-security, state-of-the-art facilities that are incubators for advancements in payments, secure access, and additive manufacturing. The Team At ABCorp, we know that our legacy and decades of achievement are powered by an exceptional team that embodies a true startup mindset. The Platform Engineering Team at ABCorp builds the data infrastructure layer that powers our entire analytics organization. We own the pipelines, integrations, and foundational data models that move business-critical data from our operational systems — ERP, manufacturing, finance, and CRM — into our modern data warehouse. Our team partners closely with Engineering, IT, Analytics, and Product teams to ensure that reliable, well-modeled data reaches every part of the organization, enabling data-driven decisions at scale. Learn more about ABCorp's story, products and team at abcorp.com. The Role ABCorp is seeking a Senior Data Engineer to own the data infrastructure and pipeline layer that powers our business and operational analytics. Sitting at the foundation of our data organization, this role is responsible for building the reliable, scalable pipelines that move data from our manufacturing systems, ERP platforms, financial systems, and operational tools into our modern data warehouse — where it fuels analytics, reporting, and product decisions across the company. You will serve as the architect of our operational data layer, modernizing how we collect, move, and model business-critical data and building the foundation that the rest of the data organization depends on. The ideal candidate brings deep data engineering expertise, a systems-oriented mindset, and a passion for building infrastructure that simply works — reliably, at scale, and with the rigor of a production software engineer. As a key partner to our Engineering, IT, and Analytics teams, you will help build the data backbone that supports products and decisions reaching millions of people worldwide across fintech, commercial, healthcare, and government industries — and mentor the engineers around you to raise the bar for how the organization works with data. This is an in-person role with our team based in Boston, MA. Please note there is no Visa Sponsorship for this position. How You’ll Make a Difference: • Design, build, and own end-to-end data pipelines that move data from operational systems — including ERP (Infor Visual), CRM, billing, and manufacturing platforms — into Snowflake with reliability, observability, and testability built in from the start., • Lead the integration and modernization of data from legacy systems including Infor Visual (ERP) and SQL Server databases into our modern data warehouse, treating every migration as an opportunity to improve data quality and architecture., • Build and maintain dbt models that form the raw-to-staging foundational layer of our data warehouse — clean, tested, documented, and reliable sources that the Analytics Engineering team builds metrics and insights on top of., • Design and implement pipeline orchestration using Azure Data Factory (ADF), applying CI/CD practices, data contract testing, and infrastructure-as-code principles to ensure pipelines are maintainable and production-grade., • Identify and execute opportunities to modernize legacy data processes — replacing manual exports, fragile SQL scripts, and ad-hoc reporting workflows with properly engineered, maintainable pipelines., • Collaborate closely with the Analytics Engineering team to define the upstream data layer that their downstream models, metrics, and dashboards are built on — ensuring clean handoffs, clear data contracts, and shared understanding of data lineage., • Implement and own data quality monitoring, alerting, and observability practices that catch pipeline issues and data anomalies before they reach downstream consumers., • Manage and evolve the data platform infrastructure on Azure — including Azure Synapse Analytics, Azure Databricks, ADLS, compute resources, access controls, and cost optimization. Who You Are • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field., • 5+ years of experience in data engineering, with a track record of building production-grade ELT/ETL pipelines, data warehouse models, and data infrastructure in a modern cloud environment., • Expert-level SQL proficiency including complex query optimization, performance tuning, and deep knowledge of data warehouse query patterns., • Hands-on experience with dbt for data modeling, transformation, and testing — including lineage management, CI testing, documentation, and production-grade model ownership., • Strong experience with cloud data warehouses, primarily Azure Synapse Analytics, and deep understanding of warehouse architecture, ELT patterns, and performance optimization., • Strong Python proficiency for pipeline development, automation, and data engineering tasks — applied with software engineering discipline, not just scripting., • Experience with Azure Data Factory (ADF) for pipeline orchestration, and familiarity with CI/CD and infrastructure-as-code practices applied to data pipelines., • Experience with ERP systems and operational data — familiarity with platforms such as Infor Visual, SQL Server, SAP, or similar enterprise business systems is a strong plus., • Deep experience with Azure data infrastructure — including Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage (ADLS), Azure Data Factory, Azure DevOps, and Azure Monitor., • Proven ability to own complex, multi-month data engineering projects with minimal guidance — from architecture through to production deployment., • Familiarity with event streaming systems, CDC pipelines, or large-scale schema migration projects is a plus., • Self-starter mindset with strong ownership, engineering rigor, and comfort operating in a fast-paced environment where you help define how the data platform grows., • Ability to work onsite in Boston, MA. Why Join ABCorp? • Unique opportunity to architect the data infrastructure layer for a global leader in secure manufacturing and payments — building systems that scale with a fast-growing, data-driven organization., • Meaningful engineering challenges at the intersection of legacy ERP systems and modern data infrastructure — the chance to modernize how a 230-year-old company works with its operational data., • Close partnership with a growing Analytics Engineering team — your pipelines power their models, metrics, and the insights that shape our product roadmap., • Company with rich legacy of innovation and trust., • Incredible global team with collaborative work environment., • Competitive salary and benefits package., • Professional growth and development opportunities.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:We are seeking a Sensor Integration Engineer to support selection, characterization, calibration, and integration of multi-modal navigation and localization sensors for aerospace applications. This role operates at the intersection of electrical, mechanical, and software engineering, requiring the ability to work across disciplines and directly contribute to cross-functional engineering efforts. What you'll do:Sensor Selection, Integration & Characterization: • Support sensor integration activities from specification through production, • Develop and execute sensor characterization and calibration procedures for IMUs, GNSS receivers, cameras, and other navigation sensors, • Contribute to sensor trade studies and selection processes Cross-Functional Collaboration:, • Work closely with electrical engineering, mechanical engineering, and software engineering teams on:, • Electrical interfaces, power distribution, and signal conditioning, • Mounting solutions, alignment, and thermal/vibration considerations, • Software interfaces, drivers, data acquisition, and calibration implementation, • Participate in design reviews across EE/ME/SW disciplines, providing interdisciplinary perspective and coordination, • Willingness to support occasional travel to support teammates with integration and testingTechnical Contributions:, • Develop and execute test plans for sensor performance characterization and validation, • Document sensor characteristics, trade studies, and integration requirements, • Develop or modify calibration scripts and data processing tools, • Support development of calibration procedures and tooling, • Debug issues spanning hardware-firmware-software boundaries, • Review and contribute to schematics, CAD models, and code as necessary Required qualifications:Education & Experience:, • BS in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Physics, or related field, • 1-4 years of relevant experience (new grads with strong cross-functional internship/project experience will be considered), • Demonstrated ability to work across at least two of: electrical, mechanical, software domains Technical Skills:, • Understanding of sensor measurement principles and error sources, • Ability to read and understand electrical schematics and/or mechanical drawings, • Basic proficiency in scripting or programming for data analysis (Python, MATLAB, or similar), • Familiarity with sensor communication protocols (SPI, I2C, UART, CAN, etc.), • Hands-on experience with lab equipment and sensor testing Cross-Functional Aptitude:, • Comfortable learning and working outside primary discipline, • Ability to communicate effectively with engineers from different backgrounds, • Willingness to engage with hardware, firmware, and software aspects of sensor systems, • Strong analytical and problem-solving skills across multiple domains Preferred qualifications:, • Experience with navigation or localization sensors (IMUs, GNSS, cameras, altimeters, etc.), • Exposure to sensor calibration or characterization activities, • Basic proficiency with engineering tools such as Altium, NX, and Teamcenter, • Familiarity with embedded systems or real-time software, • Understanding of coordinate transformations or sensor fusion concepts, • Experience with automated testing or data acquisition systems Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us 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 As a member of the professional services team, the Senior Application Development Architect will lead the design and implementation of modern, cloud-native applications for clients. This role requires deep expertise in backend development, modern frameworks, and cloud-native architectures to guide client modernization initiatives. The ideal candidate is a hands-on architect and technical mentor who drives innovation while delivering scalable, secure, and maintainable solutions Responsibilities including measures and KPI's • Design scalable, secure, and maintainable cloud-native applications that meet client requirements, • Create and maintain application architecture documentation and design patterns, • Develop standardized frameworks and templates for application development projects, • Lead technical discovery workshops and architecture review sessions with clients, • Provide hands-on development leadership for complex application development projects, • Conduct code reviews and ensure adherence to coding standards and best practices, • Serve as the primary technical consultant for application development engagements, • Conduct application assessments and provide modernization roadmaps, • Present technical solutions and recommendations to client stakeholders, • Collaborate with sales and solutions teams on scoping application development projects, • Mentor junior and mid-level developers on modern application development practices, • Contribute to internal knowledge base and development standards documentation, • Ensure projects are delivered on time, within budget, and meet quality standards, • Collaborate with project managers to provide accurate effort estimates and technical guidance, • Participate in project retrospectives and contribute to process improvement initiatives, • Maintain billable utilization targets while delivering high-quality technical solutions Top Candidates will have the following • Passion for modern application development and cloud-native architectures, • Strong technical leadership skills with the ability to guide architectural decisions and mentor development teams, • Deep understanding of backend development frameworks, microservices architectures, and API design patterns, • Experience with containerization, orchestration, and cloud-native development patterns, • Strong customer relationship management skills with the ability to translate complex technical concepts to business stakeholders, • Proactive approach to identifying technical debt and modernization opportunities, • Ability to balance hands-on development with architectural oversight and mentoring, • Experience working in agile development environments with CI/CD practices, • Natural proclivity for staying current with emerging application development technologies and best practices Requirements Experience for the role • Minimum of 7+ years of experience in application development, with at least 4 years in senior or lead architect roles, • AWS Solutions Architect Professional certification or ability to obtain within 6 months, • Demonstrated expertise in backend development using modern languages such as Python, Java, Node.js, or Go, • Strong experience with cloud-native application patterns including microservices, serverless, and container-based architectures, • Hands-on experience with AWS application services including Lambda, ECS/EKS, API Gateway, EventBridge, and Step Functions, • Proficiency with modern application frameworks and libraries (Spring Boot, Django, Express.js, FastAPI, etc.), • Experience with database design and optimization for both relational and NoSQL databases in cloud environments, • Strong understanding of DevOps practices, CI/CD pipelines, and Infrastructure as Code, • Experience leading application modernization projects from legacy systems to cloud-native architectures, • Demonstrated ability to mentor junior developers and provide technical guidance Additional Valuable Skills or Experience • AWS Developer Professional certification, • Full-stack development experience including front-end frameworks (React, Angular, Vue.js), event-driven architectures, and messaging systems (SQS, SNS, Kafka), • Operational expertise with Infrastructure as Code (Terraform, AWS CDK, CloudFormation), monitoring/observability tools (CloudWatch, X-Ray, Prometheus, Grafana), and performance optimization strategies, • Knowledge of security best practices, secure coding, and compliance frameworks (SOC 2, HIPAA, PCI) for application development, • Background in Agile/Scrum methodologies and previous consulting or professional services experience The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training. 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 Summary: Korro is a biopharmaceutical company focused on developing a new class of genetic medicines for both rare and highly prevalent diseases using its proprietary RNA editing platform. Korro is generating a portfolio of differentiated programs that are designed to harness the body’s natural RNA editing process to effect a precise yet transient single base edit. By editing RNA instead of DNA, Korro is expanding the reach of genetic medicines by delivering additional precision and tunability, which has the potential for increased specificity and improved long-term tolerability. Using an oligonucleotide-based approach, Korro expects to bring its medicines to patients by leveraging its proprietary platform with precedented delivery modalities, manufacturing know-how, and established regulatory pathways of approved oligonucleotide drugs. Korro is based in Cambridge, Massachusetts. We are collaborative and united by a common mission. We are building a company with extraordinary people with an audacious vision to create transformative genetic medicines for prevalent diseases. Our values - Rewrite the future, On the Cutting Edge, Better Together, Dynamically Different, Kindness and Integrity form the fabric of the organization. They are reinforced daily and serve as key dimensions in the hiring process to help us ensure that Korro is a magnet for outstanding talent and a great place to work. Join us as we redefine what's possible in genetic medicine and work to make a lasting impact on human health.Position Summary:We are seeking an experienced and versatile Senior Scientist, Computational Biology to join our Data Science team and contribute across the breadth of Korro’s research and translational programs. The successful candidate will operate as an analytical generalist — comfortable moving between target validation, NGS/omics analysis, assay analytics, and translational support for our oligonucleotide therapeutics pipeline. This is a hands-on role suited to someone who has already proven themselves in a biotech or pharma environment and who thrives in a small, fast-moving organization where program needs evolve quickly.Key Responsibilities: * Drive computational biology analyses across Korro’s research pipeline, including target validation, mechanism-of-action studies, and characterization of RNA editing activity in preclinical models. * Design, execute, and interpret NGS-based experiments (RNA-seq, variant calling, targeted amplicon sequencing) in support of oligonucleotide design, screening, and pharmacology workstreams. * Partner with platform biology, chemistry, and pharmacology teams to translate experimental questions into rigorous analytical workflows and to communicate results in a form that informs program decisions. * Develop and maintain reproducible analysis pipelines in R and/or Python, leveraging existing Data Science infrastructure (Posit Connect, MLflow, containerized environments, AWS). * Contribute analytical support to the preclinical-to-clinical translational handoff for our GalNAc-conjugated programs, including PK/PD characterization and biomarker analysis as programs mature. * Collaborate with cross-functional stakeholders to scope new analyses, set realistic timelines, and deliver results that are technically sound and decision-ready. * Mentor junior scientists and contractors on best practices in scientific computing, reproducibility, and statistical rigor. * Share findings through internal presentations and contribute to the scientific community through publications or presentations as appropriate. Required Qualifications: * Ph.D. in Computational Biology, Bioinformatics, Genomics, Computational Chemistry, or a related quantitative discipline, with 3+ years of post-PhD experience in a biotech or pharmaceutical industry setting. Academic-only or pure-tech industry experience will not be considered for this role. * Demonstrated track record of shipped, decision-impacting analyses on industry programs — e.g., target validation, biomarker discovery, oligonucleotide or small-molecule pharmacology, or preclinical-to-clinical translation. * Strong scientific programming in R and/or Python, with proficiency in standard biological data analysis libraries (Bioconductor, tidyverse, pandas, numpy, scikit-learn, etc.). * Solid experience analyzing NGS data, including RNA-seq differential expression workflows, variant calling, and quality control of sequencing experiments. * Familiarity with oligonucleotide or RNA-based therapeutics — including chemical modifications, delivery modalities (GalNAc, LNP), and the analytical considerations specific to ASOs, siRNAs, or related modalities. * Working knowledge of statistical modeling appropriate to biological data: linear and generalized linear models, mixed-effects models, multiple testing correction, and basic experimental design. * Comfort working with messy, real-world experimental data and collaborating directly with bench scientists to refine analytical questions. * Excellent written and oral communication skills, including the ability to translate technical results for non-computational stakeholders. Preferred Qualifications: * Experience analyzing clinical or translational data — Phase 1 PK/PD, biomarker time-courses, or exposure-response analyses — is a strong plus. * Familiarity with hepatology, metabolic disease, or other indications relevant to GalNAc-conjugated oligonucleotide therapeutics. * Experience with cloud-based analytical infrastructure (AWS), containerized workflows (Docker), and reproducible reporting tools (Posit Connect, Quarto, R Markdown). * Prior contribution to IND-enabling packages or regulatory submissions. * Peer-reviewed publications in computational biology, genomics, or therapeutic pharmacology. * Hands-on experience using agentic coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) in a production scientific computing context, with a thoughtful perspective on where these tools accelerate work and where human review remains essential. The range provided is based on what we believe is a reasonable estimate for the base the salary pay range for this job at this time. This does not include annual bonus and equity. The actual salary will be based on a number of factors including skills, competencies, experience, and other job related factors permitted by law.Benefits: Korro offers competitive compensation, including equity-based compensation, and a comprehensive benefits package that includes medical, dental, vision, 401(k) retirement plan, life insurance, a dependent care flexible spending account and a Company-funded health savings account and free parking. 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: We are seeking a highly skilled and motivated Senior Data Analysis Engineer for our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and statistical analysis. At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior. The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI's. The team works together with all other perception and ML teams to develop the metrics and analyze results. What You'll Do: • Work with ML Engineers and Autonomy Software Developers to develop new data analysis metrics and KPI's for the validation of the autonomous vehicle performance., • Drive innovation by researching and developing new large scale data analysis systems., • Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software., • Build high-quality datasets to improve ML products through training & edge case validation., • Bachelor's or Master's degree in Computer Science, Data Science, or a related field., • Strong programming skills in Python, SciPy, and related data analysis frameworks., • Experience in machine learning, data mining, and statistical analysis., • Experience with large-scale data processing and distributed computing technologies., • Strong communication and software development skills: goal setting, design documentation, test frameworks, collaborative cross team development. Bonus Points: • Ph.D. in Computer Science or a related field., • Experience with cloud platforms such as AWS, Google Cloud, or Azure., • Experience with machine learning in the autonomous driving domain. 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$159,000—$207,000 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 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 Apiphani is a technology-enabled managed services company dedicated to redefining what it means to support mission-critical enterprise workloads. We're a small but rapidly growing company, which means there's lots of room for growth and learning opportunities abound! Apiphani is dedicated to creating a diverse and inclusive work environment for all as a fundamental component of our business. Diversity and inclusion are the bedrock of creativity and innovation. Without diversity of experience and thought, we would fail to progress as a company and as a team. Apiphani strives to foster an environment of belonging, where every employee feels respected, valued, and empowered. We embrace the unique experiences, perspective, and cultural background, which only you can bring to the table. Senior Software Engineer — Agentic AI Platform Location: Remote | Full-time | Competitive Compensation Apiphani is building the future of intelligent infrastructure automation through agentic AI. We're looking for a Senior Backend Engineer to help design and build the systems that power Luumen — an AI-driven automation platform used by enterprise IT and managed service providers around the world. This is a high-impact, zero-to-one engineering role focused on building the backend foundations for large-scale AI orchestration. You'll work on distributed systems that combine traditional infrastructure automation with large language models (LLMs), retrieval-augmented generation (RAG), and intelligent agents. What You'll Do • Design and implement backend services that enable intelligent agent workflows and autonomous infrastructure actions, • Develop APIs and orchestration layers in Python and TypeScript, integrating LLMs, vector databases, and observability pipelines, • Build scalable systems to support LLM-based reasoning, retrieval, and decision-making across cloud infrastructure, • Integrate with AWS Bedrock and other LLM platforms to support multi-model capabilities, • Develop data access and semantic search layers using vector databases (e.g., pgvector, Pinecone, Qdrant), • Build robust monitoring, testing, and CI/CD systems to ensure reliability and reproducibility of AI workflows, • Collaborate closely with the product and DevOps teams to design architecture diagrams, plan deployments, and monitor system health, • Write clean, maintainable code with clear documentation and strong adherence to security and performance best practices, • Participate in code reviews, design discussions, and iterative delivery cycles to improve product velocity and quality What We're Looking For • 6+ years of backend engineering experience in production environments, • Strong proficiency in Python and TypeScript for building distributed, event-driven systems, • Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.), • Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models, • Familiarity with vector databases and concepts like embeddings, similarity search, and retrieval-augmented generation, • Experience with infrastructure-as-code tools such as Terraform or AWS CDK, • Understanding of SQL and schema migration workflows (PostgreSQL or similar), • Hands-on experience with Docker, GitHub Actions, and cloud-native CI/CD workflows, • Ability to diagram systems, communicate architecture decisions clearly, and work asynchronously in a distributed team, • Strong sense of ownership and ability to deliver in fast-moving, ambiguous environments Bonus Points • Experience working with LangChain, OpenAI, or Anthropic APIs, • Familiarity with agentic frameworks or AI orchestration systems, • Background in observability or APM tooling (e.g., Datadog, Dynatrace), • Prior experience building automation or infrastructure management tools, • Contributions to open-source LLM or MLOps projects, • Interest in shaping how AI is applied to real-world IT operations Why Join Apiphani You'll be joining a globally distributed, high-performing team focused on redefining how enterprises manage infrastructure. Every feature you build will directly impact how engineers interact with intelligent systems in production environments. This is an opportunity to help architect the foundations of a platform that blends infrastructure automation, AI, and agentic reasoning — where your technical decisions will shape the next generation of enterprise operations. Base Salary$120,000—$160,000 USDCompany Benefits* • Medical/dental/vision - 100% paid for employees, 50% paid for dependents, • Life and disability - 100% paid for employees, • 401K - 3% contribution, no employee contribution necessary, • Education and tuition reimbursement - up to $50K annually, • Employee Stock Options Plan, • Accident, critical illness, hospital indemnity benefits offered through our providers, • Employee Assistance Program, • Legal assistance, • Paid Time Off - up to 6 weeks per year, • Sick Leave - up to 2 weeks per year

Job Description Income Research + Management Income Research + Management is a Boston-based, privately owned, fixed income asset management firm. IR+M delivers strong performance and consistent results through a rigorous, bottom-up security selection process and strives to provide best-in-class client service to our 900+ institutional and private wealth clients. Founded in 1987 and located in the heart of Boston’s financial district, IR+M employs 200+ full time professionals and currently manages $130+ Billion in assets. We offer industry-leading benefits, as well as a challenging, collegial, and rewarding workplace with high levels of employee engagement. Our culture is driven by a diverse workforce and rooted in our Core Values of being “IR+M”: Open Position: Senior Software Engineer - Reporting, Client Service Technology Job Description: The Senior Software Engineer will join the Client Service Technology team within the broader Technology organization, reporting directly to the VP of Client Service Technology (CTech). This role will deliver scalable, resilient, and business-aligned technology solutions that enhance client service capabilities and operational efficiency across the firm. This position is primarily responsible for designing and engineering robust reporting frameworks and data preparation pipelines that power internal decision-making and external client deliverables. Overtime, the role will extend beyond reporting to support and enhance systems, tools, and workflows used by the Client Service team, including the development of departmental applications and process automation solutions. The ideal candidate combines strong data engineering and reporting expertise with systems thinking, solution design capability, and the ability to collaborate effectively with business and technology stakeholders. Job duties and Responsibilities: Data, Dashboards & Reporting * Architect and develop scalable reporting frameworks that support both standardized outputs and client-specific customizations. * Design, build, and maintain automated reporting solutions that generate client-ready outputs (Excel, PDF, PowerPoint, Word, etc.). * Develop and optimize data extraction, transformation, and validation pipelines using SQL, Python, or related technologies. * Integrate and reconcile data from enterprise systems, third-party vendors, and internal data stores to ensure accuracy and consistency. * Perform root cause analysis on reporting discrepancies and implement durable fixes to prevent recurrence. * Enhance existing reporting infrastructure for performance, maintainability, and scalability. * Partner with business stakeholders to gather requirements, translate them into technical specifications, and support user acceptance testing. * Establish data quality controls and validation processes to ensure reliability of client-facing deliverables. * Apply development best practices, including version control, code review, automated testing, documentation, and CI/CD processes aligned with standards. Systems Support & Tooling development * Design and implement internal tools and lightweight applications that streamline Client Service workflows and reduce manual processes. * Support, enhance, and troubleshoot systems and vendor applications used by the Client Service team. * Identify automation opportunities across reporting, onboarding, and recurring service processes; build scalable solutions to improve efficiency and reduce operational risk. * Collaborate with cross-functional technology teams to ensure alignment with enterprise architecture, security, and data governance standards. * Provide technical consultation to Client Service leadership on system enhancements, workflow improvements, and technology roadmaps. * Monitor system performance and proactively address reliability, scalability, and usability issues. * Contribute to documentation of systems, workflows, and technical processes to support continuity and audit requirements. Required Skills and Experience: * Bachelor’s degree in computer science, engineering, information systems, or equivalent professional experience. * 5+ years of software engineering experience with a strong emphasis on reporting, data engineering, or analytics platforms. * Advanced proficiency in Python and SQL. * Experience with reporting and visualization tools such as PowerBI or Tableau. * Experience building automated reporting workflows and client-ready deliverables. * Strong understanding of relational data models, ETL processes, and data validation techniques. * Ability to troubleshoot complex data and system issues methodically. * Strong written and verbal communication skills, with the ability to translate business requirements into technical solutions. * Ability to operate effectively in a fast-paced, agile environment and manage multiple priorities. * Familiarity with vendor reporting platforms or financial data providers is a plus. * Exposure to workflow automation tools or lightweight application frameworks is a plus. Base Salary Range: $120,000-$150,000 In addition to the opportunity to participate in a discretionary bonus program, the salary range below describes the estimated minimum to maximum base salary range for a position of this level. Compensation decisions are dependent on the facts and circumstances of each candidate and may vary based upon but not limited to relevant experience, licensure requirements, certifications, skill set, and other business and organizational needs. Applicants must be authorized to work in the U.S. for any employer. IR+M is unable to sponsor or assume sponsorship of employment visas.

Job Description About Us PhaseV (HQ in Boston, R&D in Tel Aviv) is a cutting-edge startup, pushing innovation in the drug development process to bring new treatments to more patients, in a more efficient and precise way. Leveraging the power of advanced causal inference and pushing the boundaries of machine learning, PhaseV detects hidden signals in clinical data and extracts actionable insights for planning the optimal trial. The company's proprietary ML-based platform for adaptive clinical trial design and closed-loop execution enables sponsors to easily and quickly unlock the potential of adaptive clinical trials, reveal the optimal adaptive design to meet their trial objectives and execute more efficient, more precise, and more successful clinical trials. Collaborating with 7 of the top pharmaceutical companies, as well as multiple CROs and biotech, we are poised to make a significant impact on how drugs are developed and brought to market. The Position We are looking for a talented and driven backend developer to join our R&D team. In this role, you will work closely with our data science, algorithm research, and clinical teams to create and refine a state-of-the-art clinical trials platform. You'll take on the exciting challenge of developing an intuitive, efficient, and scalable solution that transforms how drug development clinical trials are designed and executed. This is a unique opportunity to make a tangible impact on cutting-edge healthcare innovation while working at the intersection of technology, data, and medicine. Duties and Responsibilities Develop a complex, cloud-based solution, and maintain its high level of quality Demonstrate a proactive, solution-driven mindset to deliver results. Help in designing robust, scalable, and testable software solutions in a fast-paced environment Take an active part in all development phases, including research, design, development, testing Required Qualifications • BSc in Computer Science from a recognized university or equivalent practical experience, • Substantial experience in server-side development, • Minimum 5 years of experience in Python development, • Over 5 years of experience in designing and developing APIs, • At least 3 years of hands-on experience with both relational and NoSQL databases, demonstrating strong database design skills., • 3+ years of experience with AWS, showing proficiency in leveraging AWS services for building and maintaining scalable cloud applications., • 3+ years of experience in using Docker and Kubernetes, with a solid track record of deploying and managing containerized applications in production environments., • Last but not least, passion for working on a meaningful product with strong independent coworkers. What We Offer A chance to be a part of a groundbreaking team in the clinical trial domain. An innovative and collaborative work environment. Opportunities for personal and professional growth

Job DescriptionFieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. FieldAI is seeking a Software Engineer, Human-Robot Interaction. In this role, you'll shape how humans and robots communicate, collaborate, and build trust in real-world environments. From natural language dialogue systems to intuitive interaction paradigms, you'll design the interfaces that make our robots approachable, understandable, and effective partners for operators across diverse industries. This position sits at the intersection of robotics, AI, and human factors. You'll work closely with both research and product teams, translating cutting-edge HRI insights into field-ready interaction systems that ship to customers. You'll leverage foundation models to push beyond conventional command-and-control interfaces, enabling rich, context-aware dialogue and adaptive robot behaviors. If you're energized by bridging research and deployment to solve ambitious problems in embodied intelligence, we want to hear from you.What You Will Get To Do • Design & Build Human-Robot Interaction Systems, • Architect and implement dialogue systems that enable natural, multimodal communication between operators and robots., • Develop interaction frameworks that adapt to user expertise levels, environmental context, and task requirements., • Create intuitive mechanisms for operators to understand robot intent, state, and decision-making., • Leverage Foundation Models for Intelligent Interaction, • Integrate foundation models into HRI pipelines., • Design systems to improve the efficiency and performance of foundation models on edge., • Evaluate and iterate on model outputs to ensure safe, reliable, and contextually appropriate robot responses., • Bridge Research & Deployment, • Translate HRI research insights into practical, field-deployable systems, • Conduct user studies and field experiments to validate interaction designs, • Build robust systems that perform reliably in unstructured, real-world environments, • Collaborate Across Disciplines, • Partner with perception, planning, and autonomy engineers to create cohesive human-robot experiences., • Work with product and UX teams to align interaction designs with user needs., • Collaborate with customers to develop bespoke HRI solutions and see your work deployed in the field.What You Bring, • Bachelor’s degree in Computer Science, Robotics, Human-Computer Interaction, or a related field, or equivalent industry experience, • Hands-on experience developing human-robot interaction systems, including dialogue systems, natural language interfaces, or multimodal interaction, • Proficiency with foundation models and their integration into production software systems, • Strong programming skills in Python and C++, • Solid understanding of HRI principles, including user modeling, explainability, and trust calibration, • Strong problem-solving skills and ability to thrive in fast-paced, interdisciplinary teams, • Ability to translate research ideas into practical, field-deployable systems, • Excellent communication skills and a highly collaborative mindsetWhat Will Set You Apart, • Master’s degree in Computer Science, Robotics, Human-Robot Interaction, or a related field, • Experience with robotics middleware for real-time systems, • Publications in top-tier venues such as HRI, CHI, ICRA, RSS, CoRL, ACL, or EMNLP, • Experience with speech recognition, natural language understanding, or dialogue management frameworks, • Familiarity with user study design and evaluation methodologies, • Contributions to open-source robotics or NLP projects

Job Description This is a remote position. As a Senior Software Engineer you will join a collaborative team working to enhance and innovate our web service to expand to new customers and further improve efficiencies. We are seeking full stack creative thinkers, who thrive in a fast-paced environment and have a high level of ownership and responsibility for the success of the team. This is a fully remote opportunity that offers an exceptional work/life balance. Hours: Ability to work East Coast Hours Primary Function: • Develop large features & improvements as well as fixes and library upgrades, • Write unit tests to maintain test coverage, • Take initiative to identify improvements to the code structure towards better maintainability and testability, • Drive coding best practices within the team, • May coach junior engineers (process, code base, best practices), • Conduct thorough and constructive code reviews to ensure quality, • Actively participate in the agile development process (design reviews, planning, and retrospectives); seek to meet commitments and proactively resolve blockers, • Write and review technical designs, • Guide and mentor junior engineers in navigating the codebase, best practices, and relevant languages., • Contribute to cross-team discussions around processes and architecture improvements, • Implement integrations with third-party services and application components, • Collaborate with peers to prioritize work and be in alignment with strategic goals, • Handle interruptions well, seek to help others reach team goals, • Keep up-to-date with relevant advances in the field, • May participate in interviews for new hires Requirements • CS fundamentals (data structure and algorithms), • Deep knowledge of modern web applications, • Expert in Python, • Proficient with JavaScript / TypeScript / React, • Good knowledge of MongoDB or SQL, • Proficient with Git, • Proficient with Docker, • Updating existing platforms, experience working with legacy systems and upgrading libraries, • Excellent problem solving, troubleshooting and debugging skills, • Excellent design & organizational skills, • Authorization to work for any employer in the U.S., • Ability to work independently in a remote environment with minimal direction/oversight, • Strong communication and collaboration skills, including experience working with cross-functional teams., • Ability to work independently in a remote environment requiring minimal direction/oversight, • Continual improvement and self-learning Education and Experience: • 7+ years of professional experience in software development of web applications., • Bachelor Degree in Computer Science or related field is a plus Physical Requirements: • Experience with AWS, • Knowledge of Kubernetes, • Experience with cross-functional teams, • Experience or curiosity with Machine Learning or AI

Job DescriptionHigh-definition HD maps are foundational to enabling safe, scalable autonomous driving. We are seeking highly motivated engineers who are passionate about solving complex, real-world problems and building state-of-the-art mapping systems. In this role, you will collaborate with a diverse, cross-functional team to design and develop large-scale HD mapping algorithms, workflows, and data pipelines. Your work will directly impact our ability to efficiently map new cities and continuously update existing maps at scale, playing a critical role in accelerating our autonomous vehicle deployment. In this role, you will: • Automate large-scale mapping pipelines and workflows, • Contribute to scalable algorithms for map creation, validation, and maintenance, • Ensure system reliability and performance through testing, debugging, and continuous improvement of production systems, • Collaborate cross-functionally with a variety of teams working on things such as perception, planning, prediction, simulation, etc, • Propose tool and/or feature ideas to the team to improve processesQualifications:, • BS or MS in Computer Science or related field and 3+ years experience, • Proficiency in C++ and Python, • Experience in cloud / distributed computing and automating pipelines, • Experience in industry software devops workflow and tools, for example, CI / CD, • Experience working with 3D sensor data from cameras and/or lidarsBonus Qualifications:, • Experience with mapping or geospatial data, • Experience with React and frontend development

Job DescriptionThe CompanyTutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory. We understand that general-purpose and generally-intelligent robots are going to be built in our lifetimes, and we’re combining human and artificial intelligence to lead the charge. As an AI software company who deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy. The RoleAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level. Tutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a robotics software engineer, your work lies at the center of this challenge, orchestrating real time robot code, optimization systems for motion planning, machine learning systems, data labeling frontends, and optimizing compilers across a myriad of platforms. Our engineers flex up and down the robotics stack from microcontroller firmware to cloud infrastructure, charging at technical problems from any and all angles. At the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers shape their own roles to best tackle the frontier of robotics development.Requirements • Exceptionally strong programming skills and comfort in any programming language, • Natural collaborator, excited to work closely around a whiteboard in a team setting, • Excited by the future full of robots and a reshaped physical economy, • Not afraid to step foot in a factory or a warehouseNice to haves (zero or more), • Advanced proficiency with Python and/or Typescript + React, • Experience with robot arms / manipulation, • Experience with motion planning and robot optimization, • Experience with perception or computer vision (deep or classical), • Experience with infra and devtools (systemd, Docker, Kubernetes), • Experience with hardware / software integrationAll offers include generous equity, fully covered health + dental, and unlimited PTO.

Job Description As a member of our Professional Services team, you will assist in the building, deploying, and maintaining of critical customer applications. In this role, you will provide thought leadership and hands-on technical execution to optimize client environments and ensure robust, scalable applications. Responsible for: • Assisting in the designing and building modern and highly scalable cloud-based applications for customers, • Migrating and modernizing customer legacy applications using AWS services, • Working with Project Managers and clients to provide recommendations and technology roadmaps to meet their business needs, • Actively participating in team meetings and cross-functional interactions, • Keeping team members and supervisors informed of progress and issues, • Actively contributing to client project status meetings, • Contributing to R&D projects to validate/invalidate new services offerings, • Remaining current with technology trends and new technologies, • Proposing the latest technology usage and integration standards, • Developing and managing backend infrastructure, APIs and integrations to support cloud-based solutions, using programming languages like Python, Java, and PHP, • Participating in code reviews, document infrastructure-as-code, and assist with UI/UX, • Building out frontend interfaces and dashboards for applications and infrastructure using languages like Angular and React, • Bridging the gap between technical complexity and business objectives through adept problem-solving abilities, • Building trusting relationships with team members and collaborating departments, • Comfortable with pushing boundaries and technical limits (maintain technical aptitude and knowledge of industry), • Confidently communicating with diverse stakeholders to translate requirements into impactful outcomes, • Championing ongoing elevation of personal skills paired with knowledge transfer to teammates, • Having the ability to rapidly learn new languages, frameworks, or business domains as needed to meet the diverse needs of multiple clients Requirements of the role: • 5+ years’ experience as a cloud engineer with hands-on expertise across AWS cloud services, • Strong experience with infrastructure-as-code tools like CloudFormation, • Experience coding in multiple languages including Node.js, Python, Angular, React, .NET Core, .NET Framework, • Experience using AWS platforms including but not limited to Cognito and Amplify, • Understanding of modern app architectures in cloud environments, • Able to collaborate with cloud engineer and project management teams, • AWS Certification(s) a must have (can be obtained upon hire) - minimum requirement at 90 days is AWS Certified Developer Associates, • In-depth experience with one or more programming languages like Java, JavaScript, Python, C# used for developing cloud-native applications., • Understanding of cloud computing concepts - IaaS, PaaS, serverless, containers etc., • Working knowledge of Amazon Web Services - key services like EC2, S3, Lambda, API Gateway, ECS, Fargate, RDS etc., • Experience using AWS command line tools and SDKs to manage infrastructure as code, • Building, deploying, managing microservices applications on AWS, • Working with AWS data storage solutions like DynamoDB, NoSQL, and Aurora RDS, • Experience with containers & orchestration platforms like Docker, Kubernetes on AWS Security best practices for applications in the public cloud Additional Valuable Skills: • Experience with CI/CD pipelines and automated testing, • Building event-driven architectures on cloud platform, • Using infrastructure as code tools like CloudFormation, • Frontend JavaScript frameworks like React, • Machine learning capabilities like SageMaker, • Leveraging serverless architectures where applicable The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training. 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 Responsibilities Job Summary The Principal Cloud Development Operations Engineer (SDLC & CI/CD Controls) defines and leads DeepHealth’s enterprise DevSecOps strategy, serving as the organizational authority on pipeline security and secure software delivery. The role drives the design, governance, and continuous improvement of automated security controls across all CI/CD pipelines and developer workflows—ensuring security is built in from design through production while enabling delivery that is fast, measurable, and audit-ready at scale. Essential Duties and Responsibilities • Define and own the enterprise DevSecOps toolchain strategy; architect standardized pipeline security frameworks—covering SAST, SCA, secrets scanning, IaC scanning, and container scanning—adopted across all engineering teams., • Establish and govern enterprise release security standards and gating policies across the software delivery organization; lead exception governance and risk acceptance frameworks at the program level., • Drive organization-wide adoption of secure development standards; influence engineering leadership on secure-by-default practices and set measurable risk reduction goals tied to business objectives. CI/CD Pipeline Hardening & Automation • Architect and lead the development of enterprise-grade automation frameworks for pipeline security checks, artifact integrity, pipeline hygiene, and audit evidence generation; define reusable standards adopted across the engineering organization., • Define and enforce secrets management standards and credential exposure reduction strategies across the entire build and deployment ecosystem; partner with platform leadership to drive enterprise-wide adoption., • Establish tooling performance standards and quality criteria for security controls across all pipelines; lead continuous improvement of the security toolchain to optimize the balance between risk coverage and developer velocity. Vulnerability Management Workflow (Engineering-Usable) • Define and own the enterprise vulnerability risk management framework; lead cross-functional prioritization of findings with product, engineering, and compliance stakeholders, driving systemic remediation strategies., • Establish and own vulnerability SLA standards and exception governance policies; provide executive-level reporting on risk posture, aging trends, and program-wide effectiveness to senior leadership. Security Standards, Threat Modeling & Enablement • Lead and advance DeepHealth’s threat modeling methodology; define organizational standards for security risk assessment and translate complex threat landscapes into strategic engineering priorities., • Establish and lead the organization’s security champions program; define the DevSecOps maturity roadmap and drive measurable, sustained improvement in security culture across all engineering teams. PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned, and management retains the right to add or change duties at any time. Minimum Qualifications, Education and Experience • Bachelor’s degree in engineering or related field or equivalent experience required., • 12+ years in DevOps, platform engineering, application security, or software engineering with hands-on CI/CD responsibility required., • Demonstrated record of designing and leading enterprise DevSecOps programs, including toolchain strategy, pipeline security architecture, and cross-organizational adoption at scale., • Exceptional communication and influence skills; demonstrated ability to drive strategic alignment on DevSecOps programs across engineering, product, and executive stakeholders. Technical Skill Set (Required) CI/CD & Engineering Systems (Hands-On) • Deep expertise in CI/CD platforms (GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps); able to architect multi-platform pipeline strategies and evaluate emerging tooling at an organizational level., • Expertise in designing and governing enterprise-scale pipeline policy frameworks, release controls, and branch protection standards; defines organizational standards adopted across teams. Scripting / Automation • Advanced proficiency in Python, Bash, PowerShell, or equivalent; designs automation architectures and reusable frameworks adopted across the engineering organization., • Expert-level API integration capability; architects toolchain integrations and metrics platforms to support program-wide reporting and continuous compliance evidence generation. Application Security Fundamentals • Expert knowledge of application security risks, attack vectors, and secure development patterns; contributes to and influences internal security standards and industry frameworks (OWASP, NIST, CIS). IaC / Container Awareness • Deep expertise in IaC and container security architecture (Terraform, CloudFormation, Bicep; Docker, Kubernetes); defines organizational standards for supply chain integrity, image scanning, and runtime security controls. Preferred Qualifications • Demonstrated program leadership in regulated environments (PHI/PII); authored or significantly contributed to enterprise HIPAA, SOC2, or ISO 27001 compliance programs with direct audit and evidence ownership., • Expert-level knowledge across the DevSecOps/AppSec toolchain (Semgrep, SonarQube, Snyk, Trivy, Prisma/Defender); experience leading enterprise-scale tooling evaluation, selection, and onboarding programs., • Advanced security certifications strongly preferred (CISSP, CSSLP, AWS Security Specialty, or equivalent); thought leadership through published work, conference presentations, or open-source contributions is a strong differentiator. Quality Standards • Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors., • Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance., • Follows all local, regional and country laws concerning employment., • Follows all DeepHealth policies and procedures., • Follows data privacy, compliance, safety and confidentiality standards at all times., • Practices universal safety precautions., • Promotes good public relations on the phone and in person., • Adapts and is willing to learn new tasks, methods, and systems., • Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines., • Completes job responsibilities in a quality and timely manner. Physical Demands This position often requires sitting, standing, walking, bending, twisting, reaching with hands and arms, using hands and fingers, handling, or feeling, speaking, listening, and high-level cognitive thinking. Also, must be able to lift up to 10 pounds occasionally. Travel This position requires domestic / international travel up to 10%. Working Environment Remote Salary: $200,000 - $230,000

Job DescriptionFieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. FieldAI is seeking passionate engineers to play a vital role in the development of multi-robot simulation and fleet orchestration. You will work with a focused team in a fast-paced environment to build simulation environments where robots operate, coordinate, and adapt together in realistic scenes, enabling the company to develop and validate fleet orchestration strategies at scale before deployment. The ideal candidate will have a solid understanding of robotics simulation and multiagent fundamentals along with the practical skills to deliver high-quality, maintainable code on a small, focused team.What You Will Get To Do • Architect high-fidelity multi-robot simulation scenes (terrain, sensors, dynamic obstacles) and scale from single-agent tests to fleet scenarios., • Integrate physics, perception, and comms models so agents behave realistically at fleet scale., • Implement and evaluate fleet-level task allocation, coordination, and planning inside simulation., • Build declarative mission tooling to run thousands of orchestration experiments and profile performance across latency, heterogeneity, and environment complexity., • Calibrate simulation to real-world telemetry with field teams and reduce the sim-to-real gap., • Build domain randomization, scenario generation, and automated regression/benchmark gates for fleet orchestration releases., • Design logging, metrics, and visualization so every run yields actionable data and fleet KPIs (throughput, collisions, comms overhead, idle time)., • Maintain reproducible experiment infrastructure with versioned scenes, configs, and results., • Partner with perception, planning, learning, DevOps, and infrastructure teams to run large-scale simulation and raise standards for fidelity, coverage, and release quality.What You Bring, • MS or PhD in Computer Science, Robotics, Aerospace, or a related field (or equivalent industry experience)., • 7+ years hands-on experience building simulation environments for robotics or autonomous systems., • Proficiency in Python and C++; comfort reading and extending large codebases., • Working knowledge of robotics simulation engines (e.g., MuJoCo, NVIDIA Isaac Sim, Genesis)., • Experience with multi-robot or multi-agent systems: task allocation, distributed planning, swarm coordination, or fleet management., • Familiarity with standard robotics middleware., • Strong problem-solving skills and ability to thrive in fast-paced, interdisciplinary teams., • Ability to translate research into practical, field-deployable systems.What Will Set You Apart, • Publications or open-source contributions in multiagent systems, multi-robot planning, or fleet coordination (ICRA, RSS, IROS, AAMAS, CoRL)., • Experience with domain randomization, synthetic data generation, or sim-to-real transfer at scale., • Background in distributed systems or cloud-based simulation orchestration.

Job DescriptionAt Laminar (formerly H2Ok Innovations), we're leading the charge in cleantech innovation, reshaping process industrials and manufacturing to drive operational efficiency and sustainability for our world’s most foundational industries. Powered by our Laminar AI Co-pilot models and state-of-the-art sensors, our solutions optimize facility performance across various processes, including process manufacturing, production, water management, energy reduction, and waste minimization. Based at Greentown Labs, North America's premier cleantech innovation community, we're a woman-founded startup backed by renowned investors like Greycroft, Construct Capital, 2048 Ventures, and Flybridge Capital. Our groundbreaking technologies have earned accolades and adoption from industry giants like Unilever, The Coca-Cola Company, ABinBev, and Mitsubishi Electric. We're committed to unlocking untapped data for our customers, empowering them to gain a competitive edge and create Industry 4.0. Transforming our most foundational sectors of society is hard. Very hard. But we’re building an empire. And empire building is not easy. It’s deeply fulfilling, and you will learn and grow tremendously while driving sustainable impact globally with some of the largest players that make everything we eat, use, and wear. Our culture is to foster extraordinary growth within our teammates. We believe in autonomy, ownership, empowerment, demanding excellence, being mission-driven. We believe in creativity, authenticity, and extraordinary growth. We’re looking for relentless, ambitious, creative, and exceptional people to join our team and build the factory of the future. As our company grows and scales, we’re seeking an Electronics Reliability and Test Engineer to help ensure our products meet our high standards for performance and reliability across the entire hardware product lifecycle. You’ll work closely with our Hardware Engineers and our Contract Manufacturers, assist with PCB and hardware design review, and develop strategies to diagnose, track, and address quality incidents in design, manufacturing, and deployment. We value a self-sufficient, hands-on engineer who thrives in a fast-paced environment and enjoys tackling diverse technical challenges. Your work will directly impact hardware product design, improve overall product performance, and help achieve high customer satisfaction. What You Will Do • Develop and execute test strategies (and potentially develop test hardware) for PCBs in early-stage designs and through production, defining clear quality acceptance criteria and validation requirements, • Review mechanical and electrical designs, identify potential functionality/reliability risks, and recommend improvements, • Perform comprehensive root-cause analysis and recommend corrective action for downed or underperforming field devices, • Build processes for tracking and addressing manufacturing defects and field quality incidents, • Work closely with the Hardware, Software, and Deployments teams to coordinate device debugging, • Travel to customer sites when required to debug devices in field if context is needed (approximately 10%)About You, • 3+ years (mid-level) experience in hardware reliability, validation, or test engineering, • Electronics experience: PCB SMD and THT soldering, rework, troubleshooting, oscilloscope use, digital signal analysis, • Ability to read and debug electrical schematics, • Skilled in formal hardware debugging, root cause analysis, and executing corrective action plans, • Basic coding experience: Python, C, C++, • Generalist mindset: comfortable working with all parts of electromechanical assemblies, data logging, as well as system-level topics, • Clear, efficient, and respectful communicator, comfortable collaborating both with engineering teams and external contract manufacturers, • Database or test logging system experiencePreferred, • 5+ (senior-level) experience in hardware reliability, validation, or test engineering, • Experience working with PCB contract manufacturers, machine shops both domestic and international, • Experience designing automated PCB testing fixtures, • Familiarity with Six Sigma, • PCB design experience with microcontrollers, industrial communications protocols, • Previous experience navigating the balance between “move fast and break things, but not the important things”, • Comfortable building a test logging system from scratch, • Experience managing NPI (new product introduction) processesBenefits, • Direct impact on product and culture., • Comprehensive benefits package including Medical, Dental, Vision, Life Insurance, Disability, Transportation benefit, Health and Wellness benefit, and more., • 401k plan with employer matching, • Equity, • Competitive salary and bonus opportunities., • Dynamic and inclusive work environment., • Opportunities for growth and professional development., • Access to Greentown Labs' extensive network of cleantech startups.Learn How We Think, • Learn about our startup journey: Our Journey

Job Description Mission Summary: We are seeking a Verification and Validation (V&V) Lead to spearhead efforts for the Perception subsystem of our autonomy stack. Reporting directly to the Head of Perception, this critical role is responsible for the full spectrum of efforts required to close the safety case for the perception subsystem, enabling our driverless commercial launch and subsequent product expansions. This hybrid role demands broad experience in the self-driving field, with specific competencies in: test engineering, systems and safety, data analytics and reporting, simulation technology, and leveraging AI for workload automation and insight generation. Success in this highly collaborative role also requires exceptional written and verbal communication, leadership, cross-team influence, and a consistent ability to prioritize work and deliver results. Key Responsibilities: • Requirements Driven Development / Test Driven Development, • Influence requirements from the perspective of problem understanding, covariate coverage, and testing capabilities/challenges., • Educate perception engineers and be a champion for V&V best practices., • Problem Definition and Performance Analysis, • Collaborate with autonomy and systems engineers to establish problem taxonomies and identify critical performance covariates., • Identify or define appropriate metrics., • Create dashboards and automate reporting., • Perception V&V Strategy, • Establish coverage targets and identify data/testing gaps., • Validate the test strategy and provide early feedback to developers., • Create actionable test plans involving a spectrum of test modalities., • Create critical tests as-needed, work cross-team to scale test creation to achieve coverage targets., • Test Technologies, • Understand the limitations of existing tools and simulation technologies and how they impact our coverage plans., • Advocate for engineering work to address testing and automation limitations., • Find creative ways to get the desired signals when a straightforward approach is deemed infeasible., • System/Subsystem Performance Boundaries, • Be a bridge between Perception and the "Systems Readiness and Performance" organization. Act as the primary point of contact between the organizations., • Advocate for, and adopt, common processes, technology, and terminology to ensure subsystem and system level evaluations work seamlessly together., • Ensure that we understand the system-level impact of a perception failure mode and communicate this effectively across the entire organization. Required Qualifications: • Education and Experience, • Bachelor's degree in a STEM field (preferred)., • Experience leading Verification and Validation (V&V) for a safety-critical product., • V&V experience specifically with a self-driving vehicle (strongly preferred)., • Domain Expertise, • General knowledge of the self-driving vehicle software stack., • Understanding the different types of simulation technologies used in autonomy development., • Expertise in creating and executing V&V test strategies., • Expertise in test set creation, test organization (tagging, requirements and deficiency linking), and structured reporting., • Strong understanding of how performance analysis informs risk assessment, and acts as the cornerstone for "go/no-go" decisions., • Understanding of basic descriptive statistics., • Programming & Tools, • Proficiency in Python for light scripting, database queries, and automation., • Familiarity with common dashboarding software., • Familiarity with AI/Agentic coding tools to accelerate workloads., • Experience using common software tools such as version control (Git) and build automation (Buildkite, Jenkins)., • Soft Skills, • Excellent written and verbal communication skills., • Demonstrated ability in collaboration, leadership, innovation, and creativity., • A track record of reliability, trustworthiness, and delivering impact., • Ability to frame safety discussions within a grounded risk assessment framework. Preferred Qualifications: • Entrepreneurial experience or other evidence of being self-driven, adaptable, and results-oriented., • Patents or other evidence of innovation and creativity. 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$200,000—$275,000 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 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 About the Team: The Electronic Warfare and Novel Capabilities Group (EWNC) develops and delivers advanced signal processing algorithms and prototype systems for next-generation radar and electronic warfare technologies. EWNC fosters a culture of innovation and collaboration. We investigate cutting edge technologies and interface with engineers across sectors and divisions at STR and researchers at academic institutions and industry partners to develop practical and effective solutions to RF sensing and counter-sensing challenges. If you're seeking an opportunity to apply your deep technical knowledge and creativity to make a lasting impact, we invite you to join us. The Role: As a Lead Algorithm & Signal Processing Researcher, you'll have the opportunity to develop state-of-the-art algorithms and techniques for sense making and sensor decision making, from signal detection and classification, to electronic support measures, attack, and protection, to cognitive EW and more. What You Will Do: • Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges, • Design and implement models and simulations for advanced RF systems, • Lead small teams and projects, • Support business development and proposal writing efforts, • This position requires the ability to obtain a Top Secret security clearance, for which U.S. citizenship is needed by U.S. Government, • BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline, • 5-7+ years of relevant work experience depending on degree (BS +7 years or MS +5 years), • Experience in two or more of the following areas:, • RF/radar signal processing, optimization, waveform design, electronic warfare, machine learning, adaptive signal processing, AI/ML algorithm development, algorithm development, test & evaluation, model & simulation, or systems engineering, test engineering, radar modelling, or RF systems prototyping, • Proficiency in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++, • Active Security Clearance, • Experience with:, • RF technologies in the defense sector, particularly for sensing and electronic warfare applications including electronic attack, electronic protection, cognitive EW, and advanced electronic support measures techniques and algorithms, • Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow, • Interacting with decision-makers and customers to translate mission needs into an end-to-end analytical solution, • Ability to apply novel, innovative and interdisciplinary approaches to challenging engineering problems The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description Requirement: Role: Data Engineer & Senior Data Engineer Location: Remote or Boston, MA & San Mateo, CA Duration: FTE Job Description: Candidates need to be able to manage data modeling and themovement of data from any disparate system to a repository/database/datalakeusing SQL and Python to created a streaming or continuous data flow. Then the data engineer will visualize thedata using Sisense (cloud data viz technology). If candidates do not have Sisense then Tableau and Qlik are okay. Idealcandidate will be strong in SQL, python, tableau, Qlik or another cloud DV tooland mid (Boston ) to senior (San Mateo) level. Best Regards Krishna Chalasani Recruitment Lead E-mail: Office:972-483-5871 | Cell: 469-301-7520

Job Description Machine Learning Engineer – Computer Vision & Robotics Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and autonomy solutions for unmanned systems operating in GPS-denied and contested environments. We are a fast-growing, dual-use technology company at the forefront of national security and commercial innovation, with a mission to push the boundaries of what autonomous systems can achieve. Joining Tycho.AI means being part of a team shaping the next decade of autonomy from defense applications to commercial opportunities in areas like logistics, disaster response, and beyond. If you want to work at the cutting edge of AI/ML and robotics with a company that’s poised for major impact and growth, we want to hear from you. Responsibilities • Design, develop, and optimize ML models for computer vision and robotics tasks., • Build robust training and fine-tuning pipelines for large-scale datasets., • Integrate ML systems into real-world platforms, bridging research and production., • Write clean, efficient, and maintainable code across Python and/or C++., • Stay current on research and apply state-of-the-art techniques in autonomy and perception. Requirements • Bachelor’s or advanced degree in Computer Science, Engineering, or related field., • Hands-on experience applying ML to computer vision and/or robotics., • Proficiency with PyTorch or TensorFlow., • Strong coding skills in Python or C++ (ideally both)., • Experience deploying ML models and building training pipelines., • Familiarity with Git and collaborative software development practices. Nice to Have: • CUDA kernel development and model optimization (quantization, pruning, distillation)., • Experience with ONNX, TensorRT, or OpenVINO for deployment., • Robotics middleware (ROS2)., • SLAM, 3D perception, or sensor fusion (LiDAR, IMU)., • Real-time or low-latency inference pipelines. Why Tycho.AI • Be part of a rapidly scaling startup defining the future of autonomous intelligence., • Collaborate with top engineers and researchers from MIT, Google, and across the defense innovation ecosystem., • Direct impact on national security missions and dual-use commercial applications., • Along with a competitive salary and options, Tycho.AI offer a robust benefits package, including many options from medical insurance with 80% company contribution to pet insurance and a 401(k) retirement plan.

Job Description Mission Summary The AI Data Foundry is the vital link between our company's expansive data and the engineering teams that rely on it. We architect and operate the core services and infrastructure necessary to transform petabytes of raw data each month into actionable insights for our Machine Learning and Autonomy engineers. This role is a key contributor across our core initiatives: • Data Processing: We are building state-of-the-art infrastructure to meet the demands of our rapidly scaling fleet and sophisticated ML engineering requirements. You will be responsible for ensuring that our core data pipelines are robustly engineered—meaning they are performant, user-friendly, and highly fault-tolerant., • Data Discovery: we are building a platform that combines cataloging data for search needs across our metadata stores, vector datastores, and various data warehouses to super charge our ML pipelines. You would be coming in and working with ML and autonomy stakeholders to build out this new discovery platform., • Play a key role in designing and building the next generation of data infrastructure., • Build scalable backend services for data discovery and data lineage systems., • Write high quality, maintainable code to process petabytes of data, • Lead and champion high-level system design and quality code reviews/technical contributions., • 3+ years of professional experience as a data engineer or data pipeline engineer, • BS or MS in Computer Science or related field, • Strong development experience with Python and SQL., • Expertise with AWS services and solutions (EKS, Lambda, ETL), • Experience with distributed system design and development, • Experience with Infrastructure Monitoring 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 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 Aquinas Consulting is currently looking for a HYBRID Senior Data Engineer for our high growth technology partner as they continue commercializing and scaling their insurtech platform. In this role, you will be responsible for collecting, managing, and converting raw data into information that can be interpreted by Data Scientists and Business Analysts for future usage. Our partner is under a Fortune 5 global organization, where you will work cross functionally with senior leadership to continuously improve and support the functionality of its data-driven initiatives. Senior Data Engineer Job responsibilities: • Work on data model designs and ERD documentation to support new data sets and systems implemented around the organization., • Identify operational data gaps and recommend data driven solutions to address those gaps in a secure, performant and reliable manner., • Perform in-depth analysis of existing data load, analytics, and visualization code to ensure accuracy of data flow., • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader., • Bachelor’s or Master’s Degree in Computer Science/Engineering (or related field) or equivalent working experience, • 5 + years of demonstrated professional software or data engineering experience with specialization in data modeling and business intelligence., • 3 + years have experience with Microsoft Azure, specifically with concentration in ETL processing via Data Factory., • Near expert knowledge of the SQL Server stack (2016+), ETL and Transact SQL (TSQL)., • Experience with relational database modeling, star schemas and Data Warehousing., • Deep working knowledge of Python and modeling datasets for dashboards for BI visualization tools such as Power BI / SSRS / Tableau is a plus. Please note: Applying to this role is an agreement to have your information entered into our database and acknowledgement that a recruiter will reach out to you either by phone, email, and/or text message regarding this and similar job opportunities. Aquinas Consulting is a woman and minority owned company headquartered in Milford, CT that provides Engineering, Information Technology (IT), and Manufacturing staffing solutions throughout the US. We take pride in 20 years of service to our clients, our hiring managers, our consultants, and our local community. Aquinas is an affirmative action, equal opportunity employer and committed to considering all qualified applications without regard to race, genetic information, sex, age, color, religion, national origin, veteran status, disability or any other characteristic protected by law.