Trabajos sensor en Seattle, WashingtonCrear alertas

Job DescriptionAbout Phaidra Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades. Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically: • We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions., • We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning., • We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them. Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact. Phaidra's ability to achieve its mission is determined by our ability to work together — as defined by our core values: Transparency, Collaboration, Operational Excellence, Ownership, and Empathy. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture Phaidra is based in the USA, but we are 100% remote with no physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India. Joining the Talent Pool Please submit your resume/CV here, along with a cover letter explaining what your ideal position is and how your skills would fit with the team! Benefits & Perks • Fast-paced, team-oriented environment where your work directly shapes the company's direction., • We are a 100% remote company., • Competitive compensation & meaningful equity., • Outsized responsibilities & professional development., • Training is foundational; functional, customer immersion, and development training., • Medical, dental, and vision insurance (exact benefits vary by region)., • Unlimited paid time off, with a required minimum of 20 days per year., • Paid parental leave (exact benefits vary by region)., • Flexible stipends to support your workspace, well-being, and continued professional development., • Company MacBook. Please note: Not all of Phaidra's benefits and perks listed above apply to temporary employees such as interns. On being Remote We take a thoughtful and intentional approach to remote collaboration. Inspired by pioneers like GitLab, we embrace proven best practices to foster an exceptional remote work environment. Our culture is documentation-first, and we prioritize asynchronous communication to support focus and flexibility across time zones. While we value independence, we stay closely connected through tools like Slack and video conferencing. Weekly all-hands meetings help us align and build strong relationships, and we regularly host virtual team-building activities and social events to maintain a sense of camaraderie. Equal Opportunity Employment Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at hiring@phaidra.ai. E-Verify Notice Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee's Form I-9 to confirm work authorization for those residing in the United States. Additional information about E-Verify can be found here. #LI-Remote To be considered for any position at Phaidra, you must submit an online application. This role will remain open until it is filled. Phaidra only hires individuals who are legally authorized to work in the specified location(s) above. We do not provide employment sponsorship. Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire. WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.

Apiphany is a pioneering foundational AI company for physical product development. We empower global innovators in automotive, aerospace, medtech, and energy to transform mountains of unstructured technical data into real-time, actionable insights. Backed by world-class investors from Markforged, Databricks, GM, and Character, our mission is to revolutionize how engineering decisions are made, turning complexity into clarity for the world’s top manufacturers. Our models are built for the complexities of engineering and manufacturing. Our models understand physics principles, design specifications, and program constraints. We’re a small, elite team of builders from Stanford, Berkeley, MIT, UW, and CMU, alongside industry leaders from GM, Ford, and Genesis Therapeutics. We’re passionate about transforming hard-tech and building a category-defining company together. Develop AI-powered manufacturing applications: Build full-stack solutions that integrate real-time AI (Artificial Intelligence) models for predictive maintenance, anomaly detection, defect classification, and process optimization. Engineer for complexity and scale: Design and implement robust, distributed systems that handle large-scale data pipelines, streaming industrial sensor data, and real-time AI inference. Integrate with factory-floor systems: Work with Industrial Internet of Thing (IIoT), Manufacturing Execution System (MES), Supervisory Control and Data Acquisition (SCADA), Programmable Logic Controls (PLCs), and edge computing to deploy AI models that interact with manufacturing processes in real time. Bridge AI and human decision-making: Develop intuitive, high-performance interfaces that allow operators, engineers, and managers to interpret AI-driven insights and take action. Own the full-stack: Build and optimize front-end applications (React, TypeScript, etc.) and backend services (Python, Node.js, or similar), ensuring seamless end-to-end experiences. Ship in real-world production environments: Deploy software that runs in factories, on edge devices, or in the cloud, working within the constraints of industrial infrastructure. Iterate quickly in a high-uncertainty domain: Prototype, test, and refine solutions based on direct user feedback and real-world performance data. Bachelor’s degree in computer science, information technology, software engineering, or a related field. One year of experience as a Software Engineer or Developer or related that includes the following: 0-to-1 product development in building and shipping software from conception, navigating uncertainty and scaling from Minimum Viable Product (MVP) to production. Full-stack engineering, including front-end frameworks (React, TypeScript, or similar) and backend development (Python, Node.js, or similar). Industrial automation, predictive maintenance, process optimization, quality control, or smart factory technologies. AI/ML deployment, including integrating ML models into production applications using tools such as TensorFlow, PyTorch, or ONNX. Working with industrial data, including time-series sensor data, machine telemetry, and real-time control systems. Cloud and edge computing, including deploying applications on AWS, GCP, or Azure, and running AI models on edge devices. Salary: $136,000 – $160,000/year

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options. The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year. We are seeking a highly skilled Software Engineer to play a critical role in evaluating and improving the performance of our autonomous vehicle (AV) technology. This engineer will be responsible for developing and implementing metrics and software tools, primarily using Python, to effectively measure, analyze, and report on the performance of our AV systems. Their work will directly contribute to accelerating the development of safe and reliable autonomous technologies by transforming complex AV data into actionable insights for the organization. What You'll Be Doing: • Design AV Performance Analysis Pipelines: Define, design, and implement key pipelines to extract on-road or simulated events and evaluate autonomous vehicle performance (e.g., lane change capability, oscillation/braking metrics, VRU emergence from occlusion)., • Develop Metrics Software and AI-Powered Tools: Leverage strong Python skills to develop frameworks, AI-powered tools, and systems for calculating, aggregating, and visualizing AV performance metrics from large datasets., • Collaborate Cross-Functionally: Work with systems, software, AI, controls, simulation, and validation teams to understand needs and improve systems like Perception, Prediction, and Planning., • Ensure Data Quality and Validation: Implement rigorous checks and validation processes to ensure the accuracy and integrity of data used for performance evaluation., • Document and Share Knowledge: Create clear documentation for metrics and analysis tools, and share best practices with the engineering team., • Advance Technical Expertise: Proactively evaluate and integrate new technologies and methodologies relevant to autonomous vehicles and software engineering. What We're Looking For: • 5+ years of software engineering experience and a Bachelor's degree in Computer Science or a related field; a Master's degree is a plus., • Expert-level proficiency in Python and a strong understanding of modern software development principles and best practices., • Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation and data analysis., • Proficient with Git and standard version control workflows., • Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts and results to diverse audiences (engineers, product managers, leadership)., • Proven ability to work both independently and effectively as part of a multidisciplinary team., • Strong attention to detail and a commitment to data quality, accuracy, and rigorous testing., • Comfortable working in a fast-paced, agile, continuous integration/continuous delivery (CI/CD) environment. Bonus Points (not required): • Experience working with autonomous vehicle sensor data (e.g., LiDAR, camera, radar)., • Familiarity with simulation environments and data generated from AV simulations., • Experience with data visualization tools (e.g., Looker) for presenting performance metrics., • Knowledge of statistical analysis and machine learning techniques relevant to performance evaluation. Success Metrics: • Successful design and implementation of key autonomous vehicle performance metrics., • Improvement in the efficiency and effectiveness of AV performance evaluation processes., • Timely and accurate delivery of data and insights to AV development teams., • Contribution to the overall advancement and safety of our autonomous vehicle technology. This is a unique opportunity to make a meaningful impact at Motional by enhancing our data platform and accelerating development speed for our industry-leading autonomous vehicle metrics and capabilities ecosystem. We take pride in having some of the brightest and most dedicated talent in the world on our team. If you're innovative, driven, and eager to tackle challenges, we'd love to have you join us! Physical Demands: While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds. Travel Requirements (greater than 20%): Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business. Working Environment: The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $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 , , and _. 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.

About Ditto: Ditto is redefining how data moves at the edge. Our mission is to make it seamless for developers to build resilient, real-time applications, regardless of network conditions. Whether you're in a stadium, airplane, or remote military base, Ditto's peer-to-peer sync engine ensures devices stay connected and data stays consistent, even without internet. With more than $145 million in funding and trusted by organizations like Chick-fil-A, Delta Airlines, and the U.S. military, Ditto powers mission-critical experiences across aviation, retail, travel, hospitality, defense, and more. As a globally distributed, fast-growing startup, we’re committed to building a diverse and inclusive team that reflects the wide range of perspectives needed to solve the world’s hardest connectivity problems. As a Forward Deployed Engineer (FDE), you are the technical tip of the spear. FDEs are elite, versatile engineers who work shoulder-to-shoulder with our most critical users to solve complex challenges in real time. Your primary mission is to radically decrease the time-to-value of our software by integrating it directly into the user's operational environment. Because you see firsthand how our technology performs in the wild, you will also act as a crucial conduit, feeding technical insights and feature requirements back to our core product engineering team. This role requires a highly adaptable problem-solver who is comfortable moving fast, navigating ambiguity, and figuring things out quickly in high-stakes environments. Integrate with Military Avionics Data Buses: Lead the on-site integration of our software with airborne and ground-based platforms by engineering data ingest and translation layers for MIL-STD-1553 and ARINC 429 avionics buses. Implement Tactical Datalink Interfaces: Architect and deploy software interfaces to parse, transform, and route messages from tactical datalinks including Link 16 and Situational Awareness Data Link (SADL), ensuring reliable machine-to-machine interoperability in contested environments. Enable Cursor-on-Target (CoT) Data Flows: Build and maintain robust CoT event pipelines that bridge platform sensor data into the broader C5ISR ecosystem, ensuring operational relevance and low-latency dissemination. Solve Problems in Real-Time: Act as the first line of technical defense, rapidly diagnosing and resolving software, protocol, and integration issues as they arise on operational platforms. Bridge the Gap: Translate the unique, edge-case operational realities you observe (e.g., non-standard bus configurations, latency-sensitive datalink traffic, platform-specific firmware constraints) into actionable technical requirements for the core product development team. Clearance Requirement: Must hold an active TS/SCI clearance (Due to federal security clearance requirements, U.S. Citizenship is strictly required for this role). 5+ years of experience in software engineering, embedded systems engineering, or systems integration. This includes hands-on experience writing software that interfaces directly with military or aerospace data buses and protocols. 2+ years of technical experience working with avionics bus standards such as MIL-STD-1553 and/or ARINC 429, including message parsing, bus monitoring, and protocol-level debugging. Demonstrated experience with tactical datalink protocols (Link 16, SADL) and/or Cursor-on-Target (CoT) message formats. You should understand the structure of these data standards and how to translate between them. A highly adaptable, problem-solving mindset, with the ability to navigate ambiguity, move fast, and balance immediate operational fixes with long-term technical fidelity. Strong communication skills, both written and verbal. As the crucial bridge between the operational edge and our core development team, you must be able to translate complex, edge-case technical realities and user workflows into clear, actionable requirements for product engineers. Direct experience with C5ISR system-of-systems architectures, including an understanding of how sensor-to-shooter kill chains are constructed and maintained across platforms. Experience with real-time embedded operating systems and developing software under hard real-time constraints. Familiarity with flight test or operational test environments, including working with Developmental Test (DT) or Operational Test (OT) teams on military platforms. Experience with software-defined radios (SDRs) or waveform development for tactical communications. Previous experience working directly with DoD platform program offices (e.g., PMA, PEO), with an understanding of the certification and accreditation processes for airborne software. A background in systems programming (e.g., C, C++, Rust) alongside standard scripting, allowing for deep optimization of bus interfaces and protocol handlers. Familiarity with MIL-STD-461 (EMI/EMC) or DO-178C software assurance considerations as they relate to deploying software on airborne platforms. Clearance: Active TS/SCI We offer competitive salaries and meaningful equity. We believe everyone on the team should have a stake in what we’re building. Benefits vary by region to make sure you're covered in the ways that matter most. In the US, that includes health, dental, vision, life, and disability insurance, plus a 401(k) and flexible spending accounts. Regardless of where you live, everyone at Ditto can utilize flexible time off. And while we work remotely, our Atlanta and San Francisco offices are open if you ever want a place to work or meet up with teammates. At Ditto, we know game-changers don’t always come wrapped in a “perfect” resume. Years of experience? Every single bullet point checked? Meh. That’s not what drives us. What does matter? Grit. Curiosity. Adaptability. And a genuine spark for what we’re building. So if you’re fired up about our mission but not sure you tick every box - hit that apply button anyway. Use your application to show us how you’ll make an impact here. We’re always on the lookout for exceptional humans who want to grow, stretch, and build something meaningful with us. Ditto is proud to be an equal-opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. Ditto is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let us know.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: _ The Localization team at Waabi is responsible for answering one of the most critical questions in autonomous driving: exactly where is the vehicle right now? As a Senior or Staff Software Engineer on the Localization team, you will be a domain expert architecting the highly precise, robust state estimation systems that keep our robotaxis and 80,000lb trucks safely on the road. You will design algorithms that seamlessly fuse data across a complex sensor suite to provide real-time, centimeter-accurate pose estimation, even in degraded or GPS-denied environments. You will collaborate with world-renowned engineers and scientists to merge traditional robotics state estimation with Waabi's AI-first approach. You will... • Act as a deep domain expert in state estimation, pushing the boundaries of what is possible in real-time vehicle localization., • Design, implement, and optimize robust algorithms for multi-sensor fusion leveraging IMU, LiDAR, Radar, Camera, GNSS, wheel encoders, etc., • Architect and develop mathematical models to be used in factor graph optimization, Kalman filters, etc., • Develop highly optimized, low-latency Rust code that runs directly on the vehicle's various compute devices in real-time., • Partner with the Perception and Mapping teams to tightly couple map data and semantic landmarks into the localization pipeline., • Build rigorous evaluation frameworks to measure localization accuracy, integrity, fault tolerance across millions of miles in Waabi World (our simulation platform) and on physical test tracks. Qualifications: • BS, MS, or PhD in Robotics, Computer Science, Aerospace/Electrical Engineering, or related field, with a minimum for 5 years of industry experience., • Deep, rigorous domain expertise in probabilistic robotics, state estimation, and 3D geometry (Gaussian estimation, filtering, smoothing, and mapping)., • Proven experience building and optimizing online and/or offline Simultaneous Localization and Mapping (SLAM) systems, including deep knowledge of point-cloud registration algorithms (e.g. ICP)., • Extensive hands-on experience processing and fusing data from physical sensors (IMU, LiDAR, Radar, GNSS, etc.)., • Exceptional systems-level programming skills in modern C++ and/or Rust, with a strong understanding of memory management, concurrency, and real-time computing constraints., • Proficiency in python for data analysis, prototyping, and tooling., • Strong mathematical foundation in linear algebra, calculus, and probability theory., • A proven track record of deploying complex state estimation algorithms onto physical robots or autonomous vehicles operating in the real world. Bonus/nice to have: • Familiarity with industry-standard optimization libraries (e.g., GTSAM, Ceres Solver, g2o)., • Experience with "learned localization" - applying deep learning and AI/ML models to improve traditional state estimation and feature matching., • Experience with high-speed highway autonomous driving constraints.The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living _ and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. We’re seeking a Machine Learning Data Scientist to drive the development of next‑generation Large Physiology Models and other foundation models for wearable biosignals that power Oura’s health sensing features. You’ll contribute end to end by designing and validating deep learning approaches for large‑scale wearable time‑series and running rigorous evaluations on research and clinical datasets. You’ll partner with cross‑functional teams to translate evidence into shipped features and scientific publications. Your work will improve outcomes for Oura members and advance the state-of-the-art of physiological modeling from real‑world wearable data. This is a remote US role with a preference for candidates based on the East coast. We have offices in San Francisco, San Diego and Los Angeles for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations. What you will do: • Drive foundation models for wearable biosignals, setting standards for reusable representations, tooling, and evaluation adopted across multiple health features., • Design, implement, and validate deep learning approaches for large‑scale physiological time‑series (e.g., PPG, motion, temperature), including self‑supervised and multimodal pretraining; deliver adapters/probes for diverse downstream tasks., • Lead scientific publications from core modeling and validation work that advance understanding of human physiology and support Oura’s mission to improve health., • Build and operate scalable data generation, training, and inference pipelines to improve efficiency and reproducibility., • Lead collaborations with scientists, clinicians, engineers, and product teams to translate research advances into production features that bring value to Oura members. We would love to consider you for this role if you have: • PhD (ideally with industry internship experience), or MSc with 3+ years of industry experience, in machine learning, computer science, statistics, electrical engineering, or a related field; healthcare or health‑tech experience preferred., • Demonstrated success developing deep learning models for large‑scale time‑series or sensor data, ideally physiological or wearable signals, including foundation‑model and self‑supervised/multimodal approaches., • Advanced proficiency in Python and modern ML frameworks (e.g., PyTorch or Jax), with experience building scalable training and evaluation pipelines., • Strong grounding in probability, statistics, and experimental design; proven ability to design rigorous evaluations and interpret results from large research or clinical datasets., • Excellent scientific writing with a record of first‑author, peer‑reviewed publications in top machine learning and digital health venues., • Collaborative, highly autonomous working style; comfortable operating in an interdisciplinary, globally distributed team and communicating effectively with cross-functional partners., • Flexibility for occasional meetings across European time zones and willingness to travel for onsite meetings a few times per year. Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: • Competitive salary and equity packages, • Health, dental, vision insurance, and mental health resources, • An Oura Ring of your own plus employee discounts for friends & family, • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off, • Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. • Region 1 $151,300 - $178,000, • Region 2 $138,550 - $163,000, • Region 3 $127,500 - $150,000 A recruiter can determine your zones/tiers based on your US location. We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: • Our jobs are listed only on the ŌURA Careers page and trusted job boards., • We will never ask for personal information like ID or payment for equipment upfront., • Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. _, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. About the Role Torc is developing Level 4 autonomous truck technology to transform how freight moves across the world. As a Senior Systems Test Engineer – Vehicle Testing, you will play a critical role in validating the safety and performance of our autonomous driving system at the vehicle level. You will define and execute test strategies that support safety case development, ensuring our system meets both functional safety (ISO 26262) and behavioral safety (SOTIF) requirements. Your work will directly influence how we validate autonomy across real-world driving conditions, from closed-course testing to on-road deployments. This role is highly cross-functional, partnering with systems engineering, perception, planning, and safety teams to ensure robust system integration and safe operation across diverse environments. What You’ll Do • Define and own vehicle-level test strategy aligned to safety goals and system requirements, • Develop and maintain detailed test cases and specifications for autonomous driving functions, • Derive test coverage from requirements, HARA/FMEA outputs, ASIL levels, and SOTIF analyses, • Design and execute structured test scenarios across perception, planning, and control systems, • Lead closed-course and on-road vehicle testing across a variety of ODD conditions, • Develop and implement post-processing scripts (Python/MATLAB) to assess pass/fail criteria and automate analysis, • Investigate, triage, and document system-level defects and anomalies identified during testing, • Drive cross-functional collaboration to propose and implement corrective actions, • Own contributions to safety case closure, including traceability, test evidence, and defect reporting, • Produce clear and comprehensive technical reports, dashboards, and presentations for internal and regulatory audiences, • Ensure all testing activities align with safety standards, regulatory requirements, and company protocols What You’ll Need to Succeed • Bachelor’s degree in Mechanical, Electrical, Software, Robotics, Automotive Engineering, or related field (Master’s preferred), • 5+ years of experience in autonomous vehicles, ADAS, robotics, or safety-critical system testing, • Strong experience developing test cases from:, • System requirements, • Safety goals and ASIL classifications, • Scenario-based safety analyses (ODDs, edge cases, SOTIF scenarios), • Practical knowledge of:, • ISO 26262 (Functional Safety), • ISO 21448 (SOTIF), • Experience with vehicle-level testing and real-world validation environments, • Strong understanding of perception systems, sensor fusion, and ML validation challenges, • Experience with:, • CAN and Ethernet-based automotive systems, • Data logging and vehicle debugging tools, • ROS/ROS2 or similar robotics middleware, • Strong scripting skills (Python and/or MATLAB) for data analysis and post-processing, • Proven ability to investigate system behavior, identify root causes, and translate findings into actionable insights, • Strong communication skills and ability to collaborate across multidisciplinary teams Bonus Points: • Experience testing autonomous vehicles or ADAS systems in production environments, • Experience working with simulation, HiL, or large-scale validation frameworks, • Familiarity with perception model failure modes and data-driven validation approaches, • Experience supporting safety case development or regulatory submissions Work Location: For this position, we are open to hiring in either the Ann Arbor, MI OR Blacksburg, VA (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States Perks of Being a Full-time Torc’r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: • A competitive compensation package that includes a bonus component and stock options, • 100% paid medical, dental, and vision premiums for full-time employees, • 401K plan with a 6% employer match, • Flexibility in schedule and generous paid vacation (available immediately after start date), • Company-wide holiday office closures, • AD+D and Life Insurance At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Job ID: 102575 Hiring Range for Job Opening US Pay Range $139,000 - $166,800 USD

About Us: HavocAI is an innovative defense technology company making scalable maritime autonomy a reality. We are pioneering an end-to-end solution for planning, tasking and control of uncrewed surface vessels (USVs). As we continue to quickly grow, we are looking for motivated individuals that are inspired to work within an extremely energetic, creative, and innovative team that is passionate about maritime robotics and exploring the open ocean. We work in a highly dynamic environment where collaboration and idea sharing are a way of life. About the Role: We are seeking an Embedded Systems Software Engineer focused on Payload Integration for the integration, control, and networking of a wide range of sensors and communications payloads onboard our autonomous vessels. This includes working with camera systems (including ONVIF PTZ, Stereo Cameras, LWIR, etc.), radar, AIS, software-defined radios (SDRs), and networked data transport via MQTT, TCP/IP, and streaming platforms like MediaMTX. This role will help define the architecture and software that connects these systems to our autonomy stack and ensures reliable, real-time performance in field deployments. Key Responsibilities: • Develop embedded software and middleware to interface with and control payload systems such as:, • ONVIF pan/tilt/zoom (PTZ) cameras, • Maritime radar systems, • AIS transponders and receivers, • Software-defined radios (SDRs), • Implement and maintain communication over IP-based protocols (TCP/UDP, MQTT, RTSP) and integrate media transport systems such as MediaMTX., • Design abstraction layers to make sensor data available to autonomy systems, both onboard and remote., • Work closely with autonomy, networking, and hardware teams to ensure seamless integration and system robustness., • Lead field testing and validation of new payload configurations and upgrades., • Document payload interface specifications, deployment configurations, and software APIs. Qualifications: • Bachelor's degree in Computer Engineering, Electrical Engineering, or related field., • Strong embedded development experience with C/C++ on ARM platforms (e.g., STM32) and Linux-based systems., • Proven experience integrating networked sensors and streaming media payloads., • Familiarity with ONVIF protocols and IP camera control., • Proficiency with TCP/IP, MQTT, and media protocols like RTSP/RTMP., • Comfortable working with radar, SDRs, or similar RF-based systems., • Experience with Linux networking, shell scripting, and system debugging., • Must be a U.S. Citizen and eligible to obtain a Secret Clearance. Preferred Skills: • Familiarity with marine communication systems (CAN, NMEA2000)., • Familiarity with media streaming servers., • Experience with ROS2, DDS, or similar pub/sub frameworks., • Experience with autonomous systems and real-world sensor integration., • Field experiences deploying complex sensor platforms in marine or rugged environments. Location: • Greater Boston Area Compensation and Benefits: • The target salary range for this position is $120,000 - $180,000, • 100% Employer paid Health, Dental and Vision Insurance for you and your families, • Ability to participate in the companies 401k program, • Unlimited PTO policy with an enforced 2 week minimum, • Equity Package, • Work / Home Office Stipend, • Global Entry Re-Imbursement, • 16 Week Paid Parental Leave, • Monthly Health and Wellness Stipend Our Values: • Innovation: We are driven to break new ground. Every day presents an opportunity to challenge the status quo, think boldly, and deliver advanced solutions that transform the future of defense technology., • Integrity: We hold ourselves to the highest ethical standards, ensuring transparency, accountability, and trust in all our actions and partnerships., • Mission-Driven: We are focused on achieving impactful outcomes that align with our core mission—protecting lives through innovation., • Forward-Leaning: We continuously seek out new opportunities and remain at the forefront of technological advancements. We embrace change and anticipate the challenges of tomorrow with confidence and creativity., • Ownership of All Tasks: At HavocAI, no problem is too complex or too trivial. We believe that greatness comes from tackling the hardest challenges, but also in handling the smallest, sometimes thankless, tasks with the same level of commitment and care., • Servant Leadership: We lead by serving others, whether it’s supporting our employees, partners, or the broader community. Empowering those around us is key to achieving long-term success and making a lasting impact. HavocAI is an Equal Opportunity Employer and is committed to creating an inclusive and diverse workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, sexual orientation, age, national origin, disability, veteran status, or any other legally protected status.

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit _. We are looking for a Senior Software Engineer to join the Localization team and take ownership of our calibration systems — from robustifying and stabilizing the existing offline calibration stack, through adapting it for new sensors and environments, to building online calibration validation for continuous autonomous operations at major airports. Beyond calibration, you will contribute to the broader localization, mapping, and sensor integration efforts as the team scales. You will work under the supervision of a Staff Localization Engineer and collaborate closely with the Perception, Planning, and Infrastructure teams. You Will Own the calibration stack end-to-end — improve reliability of existing offline calibrations, close coverage gaps across the sensor suite (LiDAR, IMU, GNSS, cameras, radar), and ensure every calibration is repeatable, traceable, and has clear pass/fail criteria Design and build an online calibration validation system that monitors cross-sensor consistency during live missions, detects drift, and integrates with the vehicle's safety architecture Contribute to the localization and mapping pipeline — sensor integration, performance tuning, regression testing, and deployment to new operating environments Develop tooling for calibration health logging, diagnostics, and post-mission analysis Deploy, test, and iterate using data from real autonomous operations at active airports You Have 5+ years of experience in robotics or autonomous vehicles with hands-on work in sensor calibration, localization, or state estimation Strong practical knowledge of multi-sensor calibration - intrinsic, extrinsic, and temporal - across LiDARs, IMUs, GNSS, and cameras Proven experience with non-linear optimization frameworks (Ceres, GTSAM, g2o) or filtering approaches (EKF, UKF) Strong C++ skills (C++17+) and working experience with Linux and ROS/ROS2 Understanding of how calibration quality propagates through localization and perception BS or MS in Computer Science, Robotics,Electrical/Mechanical Engineering, or related field We Prefer MS or PhD with a focus on calibration, localization, or state estimation Experience building online/runtime calibration monitoring for deployed autonomous systems Experience with factor graphs, graph-based SLAM, or open-source tools like Kalibr, LIO-SAM, GLIM, Ceres, GTSAM Track record of deploying calibration or localization systems on real hardware in production environments Experience defining safety-relevant thresholds and working with safety monitoring architectures Familiarity with OpenCV, PCL, or Open3D

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. _, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet the Team The Health and Diagnostics Team at Torc is responsible for developing critical diagnostics software that ensures the safety, serviceability, and performance of our autonomous vehicle platforms. As a member of this team, you’ll work on next-generation automotive diagnostic solutions that interface with electronic control units (ECUs), enabling both in-vehicle and remote fault detection, data logging, and recovery strategies. What You’ll Do • Design, implement, and maintain diagnostic software and communication stacks based on automotive protocols including UDS (ISO 14229), SOVD, and CAN (ISO 11898)., • Develop diagnostic services supporting fault memory, DTCs, routine control, and data identifiers using UDS over CAN and DoIP., • Implement and validate service-oriented architectures (SOA) using technologies like SOME/IP, SOVD, and Ethernet., • Support integration and debugging of diagnostics features on benches and test vehicles., • Work cross-functionally with cloud and edge-based systems to enable remote diagnostics and telemetry capabilities., • Contribute to the development of robust error handling, logging, and recovery mechanisms for ECUs and vehicle systems. What You’ll Need to Succeed • Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering, or a related field with 5–7+ years of experience (or a Master’s Degree with 3–5+ years of experience)., • Proven expertise in C++ for algorithm development, system design, and high-performance tooling., • Experience developing embedded or diagnostics software in the automotive industry., • Experience with vehicle communication stacks (e.g.DoIP, Ethernet) and knowledge on sensor connectivity using RS232 and/or GMSL, • Strong debugging and validation skills in an automotive environment., • Understanding of automotive cybersecurity principles and secure communication protocols. Bonus Points! • Hands on experience implementing Service oriented vehicle diagnostics(SOVD) using REST API protocol, • ROS2 development experience, • Knowledge of cloud-integrated vehicle health monitoring and predictive maintenance systems., • Exposure to DevOps practices, CI/CD pipelines, and containerization tools (e.g., Bazel)., • Familiarity with ISO 26262 and development of ASIL-compliant systems. Perks of Being a Full-time Torc’r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: • A competitive compensation package that includes a bonus component and stock options, • 100% paid medical, dental, and vision premiums for full-time employees, • 401K plan with a 6% employer match, • Flexibility in schedule and generous paid vacation (available immediately after start date), • AD+D and Life Insurance At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Job ID: 102534 Hiring Range for Job Opening US Pay Range $160,800 - $193,000 USD

What We Do at Anno.ai Anno.ai is a mission-focused defense technology startup dedicated to accelerating the safe and effective development of next-generation autonomous systems. We specialize in building and operating advanced test ranges for low Technology Readiness Level (TRL) single- or dual- use autonomous platforms, providing a critical bridge between early-stage innovation and real-world mission requirements. Our ranges are designed to replicate complex, contested, and dynamic environments—giving innovators, researchers, and defense partners the ability to validate, stress-test, and mature their systems with speed and rigor. By combining deep technical expertise with a strong national security ethos, Anno.ai ensures that emerging autonomous technologies are tested not only for performance, but for resilience, adaptability, and operational relevance. Anno.ai is a growing company with a team drawn from diverse professional backgrounds, bringing together expertise in defense, technology, engineering, and operations. We intentionally build our teams on the foundation of trust. Our values including the trust rule, ownership, bias for action, never stop learning, and sustainable excellence, not only guide how we work internally, but also how we partner with customers and stakeholders. At Anno.ai, we believe that mission success depends on empowering innovation at the edge. We exist to help our partners move faster, fail smarter, and ultimately deliver autonomous capabilities that safeguard both national security and the future of global stability. Position Overview As a Senior Full-Stack Engineer at Anno.ai, you will design, build, deploy, and maintain production systems used for high-throughput data collection, fusion, and analytics across both cloud platforms and deployed edge environments. You will collaborate closely with infrastructure, data, product, platform, and field engineering teams, serving as a key technical contributor driving system performance, reliability, and usability. This role is part of a fast-moving technology development group. We seek individuals who thrive in ambiguity, take ownership, and deliver solutions with minimal oversight—while also contributing to engineering rigor and cross-team architecture. The ideal candidate for this role would reside in Minnesota. Candidates need to be able to obtain and maintain U.S. Governement security clearance (U.S. citizenship required). The company would pay for clearance costs. They also need to be able to travel up to 20% of the time. What You’ll Do • Build full-stack systems that enable data ingestion, fusion, analysis, and visualization across cloud and edge environments, • Develop distributed services that handle real-time and recorded sensor and media data at scale, • Shape system architectures to support mission-critical performance, reliability, and operational resilience, • Design data models and storage strategies that ensure integrity, performance, and efficient retrieval, • Integrate internal services and external partner systems to support end-to-end workflows, • Create intuitive operator-focused user interfaces and mission-support tooling, • Implement testing, monitoring, deployment, and observability practices to ensure stable and supportable systems, • Deploy and validate software on edge computing devices under lab environments and during field exercises, • Collaborate closely with other engineers, data teams, and field personnel to deliver production-ready autonomous system capabilities Required Qualifications • Bachelor's degree in a relevant field (e.g., Computer Science, Computer Engineering), • 5+ years of software development experience across UI, backend services, and data/storage layers, • 3+ years of Python development experience, • 3+ years of Typescript and React experience for frontend application development, • PostgreSQL or similar relational databases (schema design and optimization), • Designing and integrating secure APIs and web services, • Deploying and operating applications in AWS, familiar with ECS, EC2, Lambda, and S3, • Containerization and orchestration using Docker and Kubernetes, • Working effectively in both Linux and Windows environments, • Troubleshooting distributed systems and network-level interactions (e.g., TCP/IP, routing, VLANs, bandwidth constraints), • CI/CD pipelines and automated deployment workflows, • Communicating complex technical concepts to technical and non-technical stakeholders, • Operating with high ownership and autonomy across multiple concurrent projects, • Using modern collaborative development workflows (e.g., Git-based), • Ability to obtain and maintain U.S. Government security clearance (U.S. Citizenship required), • Ability to travel up to 20% Preferred Qualifications • Experience designing and deploying systems that handle real-time or high-volume sensor, media, or telemetry data, • Strong architectural design skills involving distributed systems, data synchronization, and networked compute environments, • Familiarity with edge computing, constrained compute deployments, or field-operated systems, • Experience with network video systems, streaming pipelines, or sensor fusion environments, • Ability to perform root-cause analysis and develop corrective design strategies, • Demonstrated ability to collaborate across multidisciplinary teams (software, hardware, field/ops) and drive outcomes to completion, • Familiarity with SBOM supply chain integrity, • Prior experience supporting U.S. Department of War programs, cUAS systems, or mission-critical autonomous platforms, • Proven ability to communicate clearly under operational constraints and evolving mission requirements Total Rewards Package for Our US Employees • Competitive salary, • Equity, • Comprehensive benefits package, • 401k with a 5% company match, • Paid holidays and generous paid time off offering, • Paid leave programs, • Patent bonus program, • Employee referral bonus program, • Learning and development program, • Opportunity to work with a team of highly skilled, creative and motivated team members Quick Note on Role Fit If you think you have what it takes to fulfill this opportunity, but don't necessarily check every box, please still connect with us at _. Feel free to send a cover letter so we can get to know you better!

Robotics will have a massive positive impact on the world economy and global human productivity over the coming decade. At Foxglove, we're excited for this future, and we're building powerful open source and commercial tools to accelerate it. We're an experienced team of independent thinkers, with a passion for creating high quality products. We're looking for self-motivated and fast-learning individuals to join our mission. Foxglove is a robotics observability and visualization platform. We manage and provide access to large amounts of data across both our hosted platform and customer sites. We’re seeking a highly skilled product and Rust focused Software Engineer with professional experience delivering streaming and analytic workloads for robotics data. You’ll work with other engineers to design and develop our backend services, data processing pipelines, and interfaces. Foxglove is a remote-friendly company, with employees spread across many locations. We meet daily to connect socially, brainstorm, and share progress. For this position, we're looking for someone within 3 hours of Australian Eastern Time or Pacific Time Zone (US) with the ability to overlap 3+ hours with Pacific Time Zone (US). Ingesting massive volumes of sensor data through both batch and realtime offload Providing low-latency random-access (in device, time, sensors) playback over massive volumes of live or recorded data Multi-cloud architecture (we deploy in customer cloud accounts across GCP/AWS/Azure) Offloading data from remote devices in network constrained environments Building systems to manage petabytes of multi-modal data reliably and efficiently Our technical stack includes: Ingestion, streaming, and other compute services in Rust and Typescript PostgreSQL Managed Kubernetes environments in GCP Customer deployments in Azure and AWS Endpoint software on customer robots written in Rust 6+ years experience writing production software 2+ years experience using Rust professionally Experience writing highly performant, memory-efficient code Experience with binary data serialization or network communication protocols Experience shipping software in network-constrained environments Passion for building technical tools with engineers as the primary users Comfortable participating in on-call rotations Excellent written & verbal communication skills Ability to thrive in a fast-paced, small team environment Bonus points: Experience in robotics or autonomous vehicles Experience with public cloud services such as AWS, GCP, Azure, and/or Kubernetes Work remotely $400 AUD monthly remote budget to build your personal workspace Competitive equity grant in a Series B company 4 weeks vacation, plus holidays and winter break All expenses paid company off-sites 1-2× per year Impact: Own growth at a fast-growing, high-leverage moment for the company. Mission: Accelerate the development of the next generation of robotics and embodied AI. Team: Work with world-class engineers, designers, and researchers passionate about open-source and developer tools. Ownership: Drive initiatives end-to-end, with high autonomy and visibility.

About Ditto: Ditto is redefining how data moves at the edge. Our mission is to make it seamless for developers to build resilient, real-time applications, regardless of network conditions. Whether you're in a stadium, airplane, or remote military base, Ditto's peer-to-peer sync engine ensures devices stay connected and data stays consistent, even without internet. With more than $145 million in funding and trusted by organizations like Chick-fil-A, Delta Airlines, and the U.S. military, Ditto powers mission-critical experiences across aviation, retail, travel, hospitality, defense, and more. As a globally distributed, fast-growing startup, we’re committed to building a diverse and inclusive team that reflects the wide range of perspectives needed to solve the world’s hardest connectivity problems. As a Forward Deployed Engineer (FDE), you are the technical tip of the spear. FDEs are elite, versatile engineers who work shoulder-to-shoulder with our most critical users to solve complex challenges in real time. Your primary mission is to radically decrease the time-to-value of our software by integrating it directly into the user's operational environment. Because you see firsthand how our technology performs in the wild, you will also act as a crucial conduit, feeding technical insights and feature requirements back to our core product engineering team. This role requires a highly adaptable problem-solver who is comfortable moving fast, navigating ambiguity, and figuring things out quickly in high-stakes environments. Integrate with Robotic Platforms: Lead the on-site software integration of our platform with unmanned ground, aerial, and maritime systems, building reliable data bridges between our synchronization layer and robotic autonomy stacks. Develop on ROS2 and DDS Middleware: Architect, build, and troubleshoot software nodes within ROS2frameworks, leveraging DDS (Data Distribution Service) for real-time, publish-subscribe communication between robotic subsystems and our core platform. Implement MAVLink Integrations: Build and optimize MAVLink-based communication pipelines for telemetry, command, and control of unmanned aerial systems (UAS), ensuring reliable data exchange between our platform and autopilot firmware. Solve Problems in Real-Time: Act as the first line of technical defense, rapidly diagnosing and resolving software, sensor, and communication issues on robotic platforms as they arise during field testing and live operations. Bridge the Gap: Translate the unique realities of robotic systems integration—sensor noise, real-time constraints, autonomy edge cases—into actionable technical requirements for the core product development team. Clearance Requirement: Must hold an active Secret clearance (Due to federal security clearance requirements, U.S. Citizenship is strictly required for this role). 5+ years of experience in robotics software engineering, autonomous systems development, or related fields. This includes hands-on experience developing, integrating, and testing software on physical robotic platforms (ground, aerial, or maritime). 2+ years of technical experience working with ROS2 (Robot Operating System 2), including node development, lifecycle management, launch files, and real-time communication via DDS middleware. Prior experience with MAVLink protocol for UAS telemetry and command/control, including integration with autopilot systems (e.g., PX4, ArduPilot) and ground control stations. Familiarity with motion planning concepts and algorithms, including path planning, trajectory optimization, and obstacle avoidance in real-world operational environments. A highly adaptable, problem-solving mindset, with the ability to navigate ambiguity, move fast, and balance immediate operational fixes with long-term technical fidelity. Strong communication skills, both written and verbal. As the crucial bridge between the operational edge and our core development team, you must be able to translate complex, edge-case technical realities and user workflows into clear, actionable requirements for product engineers. Experience with sensor fusion and perception pipelines, including integration of LiDAR, IMU, GPS, and camera data for localization and mapping (SLAM). Familiarity with simulation environments (e.g., Gazebo, AirSim, CARLA) for testing robotic software prior to field deployment. Prior experience with CRDTs (Conflict-free Replicated Data Types) or local-first software architectures to manage complex data synchronization without a central server. A background in systems programming (e.g., C++, Rust, or Python) with experience writing performant, real-time code for resource-constrained embedded platforms. Direct experience with DoD or defense-related robotic programs, including an understanding of safety, certification, and operational constraints for unmanned systems. Experience with edge computing and containerized deployments on robotic platforms, including lightweight orchestration (K3s, Docker) on ARM-based or embedded hardware. Familiarity with computer vision frameworks (e.g., OpenCV, TensorRT) and deploying inference models on edge devices for real-time perception tasks. Clearance: Active Secret We offer competitive salaries and meaningful equity. We believe everyone on the team should have a stake in what we’re building. Benefits vary by region to make sure you're covered in the ways that matter most. In the US, that includes health, dental, vision, life, and disability insurance, plus a 401(k) and flexible spending accounts. Regardless of where you live, everyone at Ditto can utilize flexible time off. And while we work remotely, our Atlanta and San Francisco offices are open if you ever want a place to work or meet up with teammates. At Ditto, we know game-changers don’t always come wrapped in a “perfect” resume. Years of experience? Every single bullet point checked? Meh. That’s not what drives us. What does matter? Grit. Curiosity. Adaptability. And a genuine spark for what we’re building. So if you’re fired up about our mission but not sure you tick every box - hit that apply button anyway. Use your application to show us how you’ll make an impact here. We’re always on the lookout for exceptional humans who want to grow, stretch, and build something meaningful with us. Ditto is proud to be an equal-opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. Ditto is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let us know.

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. _, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet The Team: Torc’s Data Production team is a core enabler of our AV3.0 strategy. The team builds and operates the high‑scale data pipelines that transform raw multimodal sensor logs into structured, training‑ready datasets for machine learning, simulation, autonomy development, analytics, and system validation. We collaborate across vehicle integration, data collection, data systems, perception, ML, and release engineering to operationalize the full data loop that powers Torc’s autonomous‑driving stack. What You’ll Do: • Design and develop high‑performance data converters for multi‑sensor autonomous‑driving data (camera, lidar, radar), ensuring accurate time alignment and robust handling of raw sensor logs., • Design, build, and optimize large‑scale ingestion and transformation pipelines (ETL/ELT) capable of processing petabyte‑scale autonomous‑driving sensor data, and automate them for reliable, production‑grade deployment., • Work with data formats such as ROS bags, MCAP, and custom binary encodings; establish standards for schema evolution and metadata integrity., • Implement automated data validation, quality checks, and lineage tracking to ensure reliability of production datasets., • Collaborate closely with ML, annotation, simulation, and perception teams to ensure cross‑team ownership of data products and deliver datasets that are consistent, semantically correct, and ready for downstream consumption., • Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. What You’ll Need to Succeed: • Bachelor's or Master's degree in STEM related field with 5+ years of working experience with cloud technologies & data operations., • Experience building or maintaining converters, decoders, or transformation pipelines for sensor‑rich data (e.g., lidar point clouds, camera streams, radar detections)., • Understanding of multimodal data synchronization, timestamp alignment, and multi‑sensor calibration workflows., • Experience with distributed compute frameworks (Ray, Spark, Beam) and cloud‑based platforms like Anyscale and Databricks for large‑scale data‑pipeline execution., • Experience with high‑performance computing techniques, including vectorized data processing (NumPy), multithreaded or parallel execution, and GPU‑accelerated compute for optimizing large‑scale sensor‑data workloads., • Proficiency in Python, SQL, Shell Scripting., • Experience with major cloud providers like AWS, Google Cloud Platform (GCP) or Azure., • Operates with broad autonomy, leading complex technical work and driving alignment across team boundaries., • Owns key data‑pipeline and converter solutions end‑to‑end, setting direction and building consensus., • Provides project leadership and mentors less‑experienced engineers to ensure high‑quality execution. Bonus Points! • Working experience with design patterns & frameworks development for ML & operational data pipelines in the cloud, • Familiarity with 3D labeling and CV annotation workflows., • Experience optimizing I/O‑heavy workloads, including columnar formats (Parquet, Arrow)., • Knowledge of orchestration tools (Airflow, Argo, Prefect)., • Hands‑on experience designing CI/CD automation for data services, including GitHub Actions, Databricks pipelines, and cloud‑native deployment workflows, • Background in Agile Engineering Practices. Perks of Being a Full-time Torc’r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: • A competitive compensation package that includes a bonus component and stock options, • 100% paid medical, dental, and vision premiums for full-time employees, • 401K plan with a 6% employer match, • Flexibility in schedule and generous paid vacation (available immediately after start date), • AD+D and Life Insurance At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits Job ID: R-102555 Hiring Range for Job Opening US Pay Range $160,800 - $193,000 USD

Summary Description: Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for an experienced and talented DevOps Machine Learning Infrastructure Engineer to take on a critical role with expansive responsibilities to enhance the Software Engineering function in a growing organization. This individual will play a crucial role in maintaining and enhancing our machine learning applications, specifically those deployed on AWS Elastic Kubernetes Service (EKS) and on-premises machine learning cluster. The ideal candidate will have experience with cloud infrastructure, containerization, and DevOps practices, as well as the ability to work on both on-premises and cloud environments. Specific Duties and Responsibilities: • Develop, maintain, and optimize RESTful APIs using Python and FastAPI., • Deploy & manage applications on AWS EKS, ensuring high availability, scalability, and performance., • Integrate with various data sources & services (e.g., MongoDB, Postgres) for efficient data storage and retrieval., • Implement CI/CD pipelines to automate testing and deployment processes., • Collaborate across teams to ensure seamless integration of cloud-native tools and practices., • Maintain on-premises servers running Ceph, PostgreSQL, and NFS services., • Troubleshoot & resolve issues across different environments (development, staging, production)., • Participate in code reviews, pair programming, and knowledge sharing sessions. Qualifications, Education, and Experience Required: • Bachelor's Degree in Computer Science or equivalent work experience., • Minimum of 5 years of relevant experience., • Proficiency in Python, with experience using FastAPI for API development., • Hands-on experience with AWS EKS, including deploying, scaling, and managing Kubernetes clusters., • Knowledge of containerization technologies (Docker, Kubernetes)., • Experience with cloud infrastructure services such as S3, RDS, and VPCs., • Familiarity with CI/CD tools like GitLab CI/CD or Jenkins., • Strong understanding of database systems, including MongoDB, PostgreSQL, and NFS., • Experience with on-premises storage solutions like Ceph., • Expertise in Linux system administration., • Ability to write clean, maintainable code and perform thorough testing., • Excellent problem-solving skills and a strong attention to deta., • Experience with cloud-native observability tools (Prometheus, Grafana) is a plus., • Familiarity with Kubernetes operators and Helm charts is a plus., • Knowledge of container orchestration on-premises using K8s or similar technologies is a plus., • Experience with DevOps best practices and infrastructure as code (Terraform, Ansible) is a plus. Benefits Summary: • Medical: Several plan options including PPO and HSA-compatible plans from Anthem Blue Cross, most of which are 100% paid by Syntiant Corp. for you and your family., • Dental: Company-paid dental PPO coverage from MetLife, including coverage for Orthodontia., • Vision: Company-paid vision PPO coverage from MetLife / VSP., • Life Insurance / AD&D: Company-paid basic Life / AD&D coverage in the amount of 3x your salary (up to $1,000,000). Additional supplemental life insurance with low group rates is available for yourself and your family., • Disability Coverage: Company-paid Short Term and Long-Term Disability coverage provides up to 60% income replacement protection., • Spending and Savings Accounts: Flexible Spending Account (FSA) benefits for Health Care and Dependent Care. Health Savings Accounts (HSA) for those enrolled in a qualified Medical plan., • 401K Retirement Plan: Administered by Empower, the 401(k) plan allows you to plan for your future by investing a portion of each paycheck., • Other Benefits: A company-provided Employee Assistance Program (EAP), as well as access to additional voluntary benefits including Accident, Critical Illness, Hospital Indemnity, Legal Support, and Identity Fraud Protection. About Syntiant: Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company’s purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world’s leading strategic and financial investors including Intel Capital, Microsoft’s M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting_. Elements of our total compensation package include base pay, annual incentive plan, participation in our equity plan, and robust benefits program. Individual compensation decisions are based on a number of factors, including but not limited to previous experience and skills acquired prior to joining Syntiant, cost of living in the assigned work location, assigned schedule, and salaries of similarly situated peers at the company. It is to be expected that candidates will come to us with different sets of skills and experiences and therefore will be paid at different points in the stated range. We recognize that the person(s) we select for hire may be less experienced or more experienced than the role as posted; if this is the case, any updates to available salary ranges will be communicated with candidates during the recruitment process.

About Us: Innatera is a rapidly growing Dutch semiconductor company that develops ultra-efficient neuromorphic processors for AI at the edge. These microprocessors mimic the brain’s mechanisms for processing fast data streams from sensors, enabling complex turn-key sensor analytics functionalities, with 10,000x higher performance per watt than competing solutions. Innatera's technology serves as a critical enabler for next-generation use cases in the IoT, wearable, embedded, and automotive domains. We are currently seeking a talented Senior Field Application Engineer based in the USA to support our product development and customer implementation efforts. The ideal candidate is a technically hands-on problem solver who sits within the engineering team, actively supporting customers through complex integrations and translating field feedback into product improvements. Applicants must be currently authorized to work in the United States on a full-time basis. Please note that Innatera does not provide sponsorship for employment visas (e.g., H-1B, TN) at this time. This is a remote position; however, it requires frequent travel throughout North America to provide on-site support to our clients. Candidates must possess a valid passport and be able to travel internationally. WE WILL TRUST YOU WITH: Bridging the gap between the market and our internal teams by actively translating client feedback and usage scenarios into actionable product improvements. Build deep technical relationships with customer architects and engineering management, serving as their primary technical advisor Dealing with technical questions/issues from customers, and assisting our customers in accelerating their development of our technology Training customers (alongside the engineering teams) by organising workshops and training sessions Help and guide customers through the design process including architecture reviews, schematic reviews, design-in support and training customers on product features. Partner with Sales to identify opportunities and articulate the value of Innatera technology to secure wins Collaborating actively with the SDK/EDK, architecture, and Product owner teams YOUR EXPERIENCE INCLUDES: At least 7 years of experience in a technical customer-facing role (FAE, System Architect, or similar roles) within the Semiconductor industry Experience with AI Embedded Applications Experience working in a global environment, bridging the gap between customer requirements in North America and European/Western HQ engineering teams WHAT YOU NEED TO SUCCEED: Bachelor's degree in engineering, computer science, or a related field Great coding skills in Python, C/C++ Knowledge of ML/AI Framework(s): TensorFlow, PyTorch Knowledge of Embedded Development Kit(s), and an AI background Computer architectural knowledge is a big advantage Strong analytical and problem-solving skills Flexibility and outstanding communication & customer service skills WE OFFER YOU: A dynamic working environment around a fearless engineering culture, Ambitious teams with the freedom to innovate, A Flexible working environment (work from home policy, flexible working hours, advantageous holiday scheme), An inclusive company culture that embraces communication, diversity, and support around holistic and personal development. Whether you’re passionate about microarchitecture, excited by verification or physical design, driven by supporting operations, building strong teams, or mastering the details of accounting, we’d love to hear from you! If you're ready to shape the future of technology with us, click Apply and share your story. Innatera is proud to be an equal opportunity employer. We welcome applicants of all backgrounds and experiences and are committed to building a diverse, inclusive, and respectful workplace. All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, disability, age, or other protected characteristics. If you require accommodations during the recruitment process, please let us know – we’re happy to support you.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! This is a rare opportunity to lead foundational work at the intersection of large-scale pretraining and embodied AI. You’ll shape how Wayve curates and experiments with data to pretrain the next generation of multi-modal foundation models for autonomy. Working at the frontier of a still-undefined field, you’ll collaborate with research and engineering teams to define what “good data” looks like for embodied systems — and work with engineering teams to build the infrastructure to scale it. Your work will directly influence the performance, generalization, and capabilities of Wayve’s AI stack. Key responsibilities: • Lead data curation, enrichment, and filtering efforts for large-scale pretraining of embodied models, • Build and manage distributed data processing and ingestion pipelines across modalities, • Partner with research teams to run data-centric experiments and influence model training strategy, • Identify, integrate, and leverage third-party datasets to enhance pretraining and evaluation, • Manage and mentor a team of engineers and data scientists to deliver scientific and technical impact In order to set you up for success as a Tech Lead / Tech Lead Manager at Wayve, we’re looking for the following skills and experience: • Leadership in data-centric AI: Experience leading research or engineering teams focused on dataset curation, filtering, or enrichment at scale, particularly for large-scale model pretraining., • Contributions to data benchmarks or tools: Involvement in projects like DataComp, LAION, DINO, MOLMO, or equivalent initiatives that define or evaluate pretraining dataset quality., • Deep understanding of distributed data processing: Strong working knowledge of frameworks such as Ray, Spark, Dask, or equivalent, and designing scalable, fault-tolerant data pipelines., • Hands-on deep learning expertise: Strong proficiency in PyTorch and a solid grasp of how data quality, distribution, and structure impact training dynamics and model generalisation., • Experimental mindset: Demonstrated ability to run and interpret data-centric experiments (e.g., small-scale trials, ablations) to inform large-scale model training., • Collaboration with research: Experience working closely with ML researchers and contributing to experimental design, pretraining strategies, or evaluation design., • Minimum 5 years of relevant industry experience: Including at least several years in data-heavy, model-driven environments involving deep learning at scale., • Track record of research impact: Publications in top-tier conferences such as NeurIPS, ICML, CVPR, ICCV, CoRL, or equivalent, especially in data-centric learning, representation learning, or self-supervised learning., • People management experience: Track record managing ~5 direct reports in a research or research-leaning engineering environment; skilled in team development, prioritization, and technical alignment., • Experience with multi-modal or embodied systems: Familiarity with datasets involving video, language, lidar, radar and generally sensor fusion or embodied perception and control., • Tooling and infrastructure know-how: Familiarity with modern data versioning, annotation, and orchestration tools (e.g., Weights & Biases, ClearML, Labelbox, Airflow, Metaflow, etc.)., • Autonomous systems exposure: While prior AV or robotics experience is not required, a demonstrated interest in embodied intelligence or real-world agent learning is a plus., • Systems thinking and data-product intuition: Ability to reason about upstream data decisions and their downstream effects on models, infrastructure, and product goals., • Attractive compensation with salary and equity, • Immersion in a team of world-class researchers, engineers and entrepreneurs, • A unique position to shape the future of autonomy and tackle the biggest challenge of our time, • Bespoke learning and development opportunities, • Relocation support with visa sponsorship, • Flexible working hours - we trust you to do your job well, at times that suit you and your time, • Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more! This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. For more information visit _ To learn more about what drives us, visit _ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

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

Joining Cyberhaven offers a unique opportunity to be at the forefront of revolutionizing data protection through cutting-edge AI technology. Cyberhaven is dedicated to overcoming the challenges faced by traditional data security products, ensuring robust protection of critical data against insider threats in a rapidly evolving work environment. With a unique approach to data lineage, tracing data from its origin for better classification and protection, Cyberhaven combines the functionality of traditional data protection security tools into a single, more effective solution. This role not only allows you to contribute to the advancement of cloud and data security but also places you within a team of security and product professionals passionate about transforming the way data is protected. We’re looking for an experienced endpoint developer to help drive and evolve our product. Our technology is new and rapidly evolving, and you’ll have a chance to be an early contributor with a substantial impact on the product architecture. Design and implement components of our state-of-the-art system sensor that traces all data movement across all applications and files on macOS endpoints Solve challenging performance optimization problems: we’re building software that monitors hundreds of thousands of events with minimal impact on performance of the endpoint applications Design and build highly reliable code that never impacts the end-user experience Build secure-by-design hardened software that must withstand real-world attacks, while processing untrusted data and communicating with a backend over the internet Strong track record in working with Swift on macOS. Experience of building system extensions using Endpoint security framework and Network extensions Prior work on at least one large native application deployed to tens of thousands of end-users Experience debugging, profiling, and optimizing the performance of low-level system software using Instruments Experience building endpoint security products, such as DLP or EDR applications. Proficient in designing and implementing application architecture Experience with agile development and SCRUM Proven ability to collaborate with a distributed cross-functional team Possess verbal and written communication skills in English Availability to frequently communicate with a distributed engineering team in Central European and US Eastern time zones Located in the following locations: Bucharest or Cluj, Romania, Bangalore, India, US Competitive salary and stock options Health benefits – 100% paid for you and your family Flexible time off (paid) Career advancement opportunities Remote-first Cyberhaven is the AI-powered data security company revolutionizing how companies detect and stop the most critical insider threats to their most important data. We've raised over $250M from leading Silicon Valley investors like Khosla and Redpoint. Cyberhaven is also backed by founders, executives, and security leaders who have built transformational technologies at Crowdstrike, Nutanix, Palo Alto Networks, Meta, Google, Slack, and others. Our company values are: Think Deeply and Use Sound Reasoning Step Up and Take Ownership Continuously Learn and Grow Obsess About Customers Enjoy the Journey Reach for Ambitious Goals Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

At Tiger Data, formerly Timescale, we empower developers and businesses with the fastest PostgreSQL platform designed for transactional, analytical, and agentic workloads. Trusted globally by thousands of organizations, Tiger accelerates real-time insights, drives intelligent applications, and powers critical infrastructure at scale. As a globally distributed, remote-first team committed to direct communication, accountability, and collaborative excellence, we're shaping the future of data infrastructure, built for speed, flexibility, and simplicity. At Tiger Data, we turn PostgreSQL into the time-series data backbone for the physical world, from a single sensor to petabytes of machine and operational data,, and cloud providers (AWS, Azure, GCP) are one of the most important levers for scaling that impact. We’re hiring a Head of Cloud Alliances to own and define our hyperscaler partnership end-to-end. From how we show up in the ecosystem to how we drive real revenue through co-sell and marketplace. This is a builder role reporting into our VP of Product & Revenue. You’ll be responsible for turning cloud providers into a true growth engine. We’re not looking for someone to “manage partnerships.” We’re looking for someone who understands how AWS, Azure, and GCP actually work, how decisions get made, how field teams think, and how to position a product so it wins inside that ecosystem. You’ll start with AWS. When we get that right, you will build our Azure and GCP partnerships Location: This role is remote. We are open to candidates based in the United States. What you will be responsible for in this role: Owning and executing the AWS partnership strategy across co-sell, marketplace, and partner programs Defining how TigerData positions itself within AWS—including product alignment, messaging, and field engagement Building and scaling co-sell motions with AWS account teams and solution architects to drive qualified pipeline and revenue Driving AWS Marketplace strategy, including listing optimization, private offers, and deal acceleration Establishing a clear prioritization framework for AWS initiatives—what we invest in, what we ignore, and why Building deep, trust-based relationships with key stakeholders across AWS (partner org, field, product teams) Partnering with Product & Engineering to influence roadmap and integrations that strengthen our AWS position Aligning Sales, Marketing, and Product around a cohesive AWS-driven GTM motion Owning partner-sourced and partner-influenced revenue metrics and holding the company accountable to them Managing and mentoring a lean team (starting with 1 direct report) while staying deeply hands-on Identifying how AI within AWS (e.g., Bedrock, data/ML ecosystem) intersects with our product and partnership strategy Expanding into Azure/GCP eventually over time. You could be a great fit if you: Have 8+ years of experience in cloud partnerships, alliances, or strategic BD, ideally in infrastructure, data, or developer tools Have deep, first-hand experience working with AWS. You understand how partner, field, and sales motions actually work Have built or significantly scaled AWS co-sell and/or marketplace motions that drove measurable revenue Define clear targets for partner-led and partner-influenced revenue, track progress on a weekly basis, and take full ownership and accountability for delivering against those goals Are equally strong in strategy and execution. You can define the plan and also get deals across the finish line Have experience working with technical products (databases, data infrastructure, IoT, or similar) Can build credibility with both technical stakeholders and AWS business teams Are comfortable influencing exec-level stakeholders internally and externally Thrive in ambiguity and know how to prioritize high-leverage opportunities without overbuilding the process Have a clear perspective on how AI is changing the AWS ecosystem and how companies should adapt You might not be a great fit if: You’ve primarily worked on partner program execution rather than owning strategy and outcomes You haven’t worked closely with AWS field teams or driven co-sell deals directly You prefer managing large teams over being a hands-on operator You’re looking for a clearly defined playbook instead of building one We respond to every applicant. We review applications fairly and objectively, and shortlist based on relevant skills and experience. We ensure clear and timely communication throughout your candidate journey. We maintain a rigorous interview process with a high bar, designed to give you the opportunity to meet various team members you'll collaborate with across our organization. Tiger Data, formerly Timescale, sets the standard as the fastest PostgreSQL platform for modern workloads. Trusted by more than 2,000 customers across 25+ countries and powering over 3 million active databases, we enable developers and organizations to build real-time, intelligent applications at scale. Backed by $180 million from top-tier investors, Tiger Data is building the new standard for data infrastructure, built on PostgreSQL, designed for the future. 👉 👉 Want to get a feel for how we work and what we value? Check out our blog post:_ We embrace diversity, curiosity, and collaboration. Whether debating the perfect chicken nugget crunch 🍗, sharing workout routines 💪, or discussing your favorite plants 🌱 and pets 🐾, you'll find your community here. We don't require previous experience with our tech stack, but enthusiasm for learning is key. Our technologies include PostgreSQL, Tiger Cloud, AWS, Go, Docker, Kubernetes, Python, and innovative features like Hypertables, Hypercore, vector search, and real-time analytics. Learn more at or follow us on Twitter (Please note that benefits may vary based on country.) Flexible PTO and comprehensive family leave Fridays off in August 😎 Fully remote opportunities globally Stock options for long-term growth Monthly WiFi stipend Professional development and educational resources 📚 Premium insurance options for you and your family (US-based employees) Ready to join the future of PostgreSQL? We can’t wait to meet you. 🚀🐯

The opportunity Unity is the world’s leading platform for creating and operating real-time 3D (RT3D) content. Beyond gaming, Unity is emerging as a premier Simulation Engine for the industrial sector. Our technology allows companies to design, test, and train autonomous systems in virtual environments, long before they hit the factory floor. By leveraging Unity for Synthetic Data Generation (SDG) and simulation, our customers can accelerate development cycles and reduce the cost of robotics innovation at scale. In this high-impact role, you will lead Unity’s Robotics and Industrial strategy, shaping how developers and engineers build, train, and manage the next generation of autonomous systems. You will own the product roadmap for this vertical, acting as the "connective tissue" between our engineering teams and the industrial market. This role requires a leader who can drive results across many groups, leveraging a data-oriented mindset to ensure our offerings provide measurable value to our customers. What you'll be doing • Drive Strategy and Roadmap: Own the execution of a unified robotics roadmap, ensuring technical and product alignment across internal Engine, Platforms, Cloud, and AI teams., • Engineering & Cross-Functional Leadership: Cultivate strong relationships with Engineering counterparts to lead product areas hand-in-hand. You will drive feature delivery across disparate teams, clearing roadblocks and aligning priorities., • Data-Driven Decision Making: Lead with an analytics-first mindset. You will use data to validate product-market fit, prioritize the backlog, and measure the success of industrial offerings., • Partnership & Ecosystem Exploration: Lead technical discovery with external partners. You will identify synergies and work closely with Business Development to understand and influence how collaborative contracts and partnerships are structured., • End-to-End Delivery: Act as a hands-on lead from ideation to launch. This includes defining detailed requirements that guide engineering teams and navigating the "Design, Build, Train, Operate, and Monitor" robotics lifecycle., • Executive & Customer Influence: Distill complex technical milestones into clear strategic updates for Unity leadership. You will also manage high-level relationships with key industrial partners to ensure their feedback drives our product evolution. What we're looking for • Robotics & Industrial Domain Expertise: Comprehensive understanding of the robotics landscape, including the integration of hardware/software and common industry standards (ROS/ROS2)., • Autonomous Execution: A proven track record of working independently to drive complex, multi-disciplinary initiatives to completion in a matrixed environment., • Analytical Mindset: Demonstrated ability to use data and analytics to inform product strategy and drive organizational alignment., • Technical Communication: Exceptional ability to simplify and articulate complex technical concepts, such as simulation, autonomous navigation, or sensor fusion to both engineers and executives., • Commercial Awareness: Experience working alongside Sales or BD teams to support growth and navigate the fundamentals of strategic technology partnerships. You might also have • Simulation Software Tooling: Experience with simulation software, Synthetic Data Generation (SDG), or Digital Twins., • AI & Machine Learning Foundations: Familiarity with modern AI training techniques (Reinforcement Learning or Imitation Learning) and their application in robotics., • RT3D Engine Knowledge: Proficiency with Unity is ideal; experience with other 3D engines or simulation environments is needed., • XR & Emerging Tech: Knowledge of how XR and spatial computing integrate into industrial "operate and monitor" phases of the robotics industry. Additional information • Relocation support is not available for this position, • Work visa/immigration sponsorship is not available for this position Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the leading platform to create and grow games and interactive experiences. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing. As of the third quarter of 2024, more than 70% of the top 1,000 mobile games were made with Unity, and in 2024, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit _. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out _ to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our and . Should you have any concerns about your privacy, please contact us at DPO@unity.com. #SEN #LI-SA1

Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team. Nebius is building the cloud infrastructure that will power the next generation of Physical AI—robotics, autonomous systems, simulation/world models, and embodied intelligence operating in the real world. The Principal, Business Development – Physical AI is a strategic market-creation role responsible for developing and driving the Go-To-Market (GTM) strategy for the entire Physical AI ecosystem. You will act as the founding commercial lead, bridging the gap between our infrastructure and the three pillars of the industry: Model Builders (Foundation Models), Robot Builders (Humanoids/Autonomous Systems), and ISVs (Simulation/Data Tools). You will own the ecosystem strategy, ensuring Nebius becomes the default infrastructure for embodied intelligence. Operating at the intersection of supply (Nebius technology) and demand (The Physical AI Ecosystem), you will architect the strategy for winning developer mindshare, validate it through "Lighthouse" wins, and scale it by enabling the broader field. This is a definitive "Zero to One" opportunity to define the commercial strategy for a new category of cloud infrastructure from the ground up. You’re welcome to work remotely from the United States (SF Bay Area, CA & Austin, TX Preferred) Your responsibilities will include: • Ecosystem GTM Strategy: Create and own the comprehensive Go-To-Market strategy for the Physical AI vertical. Define the segmentation, targeting, and positioning for Model Builders, Robot Builders, and ISVs, ensuring we have a cohesive narrative for the entire value chain., • Lighthouse Deal Execution: Identify and secure relationships with the top 10 most innovative companies in the ecosystem (e.g., Foundation Model builders, Humanoid startups), converting them into "Design Partners" whose successvalidates our platform., • Drive Ecosystem Revenue: Own the long-term revenue trajectory of the Physical AI domain, ensuring that early "Lighthouse" technical wins translate into massive, high-volume compute consumption as our customers scale their training and simulation workloads., • Field Enablement: Act as a force multiplier for the sales organization by codifying your market learnings into a scalable "Physical AI Playbook." Create battle cards, training modules, and positioning guides to enable the core Sales, Marketing, and Partnership teams to identify and close opportunities independently., • ISV & Partner Alignment: Map the critical software stack (Simulation platforms, Data Labeling, Middleware) and structure partnerships that create a frictionless developer experience. Ensure our GTM strategy aligns with these partners to drive co-sell motions., • Product Signal: Serve as the primary sensor for Product & Engineering, synthesizing complex customer requirements regarding simulation, synthetic data, and reinforcement learning into clear product signals., • Orchestrate Joint Value: Structure "first-of-their-kind" partnerships and design partner agreements that serve as templates for the rest of the organization, moving beyond standard cloud consumption contracts., • Ecosystem Evangelism: Evangelize our vision at industry events (e.g., CVPR, CoRL, ICRA) and executive briefings, positioning Nebius not just as a vendor, but as a fellow innovator in the stack., • Feedback Loops: Maintain structured internal feedback loops to ensure customer learnings, friction points, and unmet needs are tracked, communicated, and acted upon by leadership. We expect you to have: • 7+ years of experience in business development, strategic partnerships, or product strategy within Cloud, AI, or Robotics., • GTM Strategy Experience: Proven ability to define a strategy from scratch—segmenting a market, defining the pitch, and building the playbook for others to follow., • Market Maker Capacity: Experience taking new, complex technologies and finding their first foothold with technical early adopters before a playbook existed., • Deep Domain Fluency: You speak the language of the builders. You understand the difference between Sim2Real gaps, foundation model training, and inference latency. You know the key players (startups and ISVs) in the modern robotics stack., • Enablement Mindset: You enjoy teaching and scaling knowledge. You can take complex technical wins and distill them into simple, repeatable sales motions for a broader team., • Cross-Functional Orchestration: Proven track record of working across Sales, Marketing, Product Marketing, and Partnerships to align distinct teams behind a unified GTM strategy and execution plan., • Startup DNA: Experience working with (or within) high-growth, venture-backed startups. You understand the urgency, the technical depth, and the pivot-ready nature of this customer base., • Communication: Strong executive presence and communication skills, capable of holding your own with VC-backed founders and CTOs., • Comfort in Ambiguity: Experience operating in fast-moving environments where the sales motion is not yet defined and requires real-time iteration. Why Nebius: • Market Creation: You aren't just selling a commodity; you are validating and creating the market for specialized Physical AI infrastructure., • Strategic Impact: Operate with real influence over product direction, company-wide sales strategy, and ecosystem development., • Frontier Technology: Work at the bleeding edge of embodied intelligence, engaging with the companies defining the future of the physical world., • High Leverage: Focus on the top 10% of transformative customers and strategic partners that drive the next 90% of growth, • Mission: Help define how intelligence moves from the data center into the physical world. Key Employee Benefits: • Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families., • 401(k) Plan: Up to 4% company match with immediate vesting., • Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers., • Remote Work Reimbursement: Up to $85/month for mobile and internet., • Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage. Compensation We offer competitive salaries, ranging from $265k - $315k OTE (On Target Earnings) and equity based on your experience, skills, and location. Join Nebius Today! If you’re passionate about pushing the boundaries of AI infrastructure and want to be part of a team that’s shaping the future of AI, we’d love to hear from you. Apply now and become a driving force in our global mission. What we offer • Competitive salary and comprehensive benefits package., • Opportunities for professional growth within Nebius., • Flexible working arrangements., • A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

SECURITY CLEARANCE: TS/SCI with Polygraphs requiredPOSITION: Senior CNO Software EngineerLABOR CATEGORY: Senior Software EngineerREQUISITION: TKO-SWE3-06.232025LOCATION: Ft. Meade, Maryland CNO is needed! CSG is seeking analytic development skills to support a highly visible cyber sensor and analyticmodernization program. This opportunity will allow for telework capabilities! Required Skills/Experience:● General knowledge and understanding of techniques, tools, behaviors and strategies used incomputer network exploitation● Experience with passive analysis of network traffic (i.e. pcap) using tools like Wireshark● Familiarly with more common network protocols (TCP, UDP, ICMP, HTTP, SMTP, SSH, etc.)● Experience with protocol and file format parsing● Experience writing plugins and fingerprints in Agency processing system● Experience developing/scripting in Python \\\\\\\\\\\\\\\\\\\\\\\\ EDUCATION and WORK EXPERIENCE minimum requirement is• Bachelor’s Degree + 20 years of experience, OR• No Degree + 24 years of experience. NOTE: Degree in Computer Science or IT Computer Engineering from an accredited college or university.CSG, Inc. is an Equal Opportunity / Affirmative Action employer that values the strength of diversity in the workplace. All qualified applicants will receive consideration for employment without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law.

Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team. The Role We’re looking for a Developer Advocate who can make Nebius the easiest place to run Physical AI and robotics workloads from simulation and synthetic data to training, deployment, and real-time inference. This is an education-first role: you’ll teach, show what’s possible, and help builders succeed—then feed the hard lessons back into product. You are welcome to work remotely from the United States. Your responsibilities will include: • Builder education: Create tutorials, guides, example repos, reference projects, and workshops for robotics + Physical AI teams., • Show what’s possible: Build demo workloads (simulation → training → inference) and share them via talks, livestreams, blog posts, and docs., • Hands-on customer help: Partner with lighthouse teams to unblock architectures, performance, and deployments—then turn solutions into reusable patterns., • Developer feedback loops: Capture recurring friction (tooling, setup, performance, deployment) and translate it into clear product requirements., • Ecosystem work: Collaborate with key frameworks and platforms (robotics stacks, simulation tools, model runtimes) to create integrations and examples., • Internal enablement: Equip solutions teams with technical narratives, architecture diagrams, and training so they can support Physical AI workloads confidently. What success looks like Builders can go to working robotics/Physical AI workflow on Nebius quickly. Your demos and content become the default starting point for Physical AI teams evaluating GPU cloud. We expect you to have: • Strong technical depth in GPU compute / inference / distributed systems (you can debug and explain tradeoffs)., • Familiarity with robotics or Physical AI workflows: simulation, synthetic data, training pipelines, sensor data, deployment constraints, latency/perf needs., • You enjoy teaching: writing clearly, building practical demos, speaking to technical audiences., • Comfort operating in ambiguity and moving fast with small teams. Nice to have • Experience with simulation and robotics ecosystems (e.g., Isaac Sim, Mujoco, ROS/ROS2) and/or model serving stacks (vLLM/Triton, etc.)., • Performance profiling instincts (latency, throughput, GPU utilization, storage/network bottlenecks). Practical experience • 3-5+ years of experience in software development, cloud engineering, DevOps or a similar technical role, • Demonstrated experience with cloud technologies and infrastructure, • Previous work with infrastructure-as-code, containerization and cloud environments, • Experience explaining complex technical concepts to different audiences through writing, speaking, or training, • Prior involvement in developer communities, open-source projects or technical forums (desirable) Communication and interpersonal skills • Excellent verbal and written communication abilities, with a talent for making complex technical concepts accessible, • Comfortable with public speaking and delivering technical presentations to diverse audiences, • Ability to build relationships with technical communities and individual developers, • Strong collaboration skills for working across product, engineering and marketing teams, • Self-direction and initiative in a rapidly evolving technical environment Educational background • Bachelor’s degree in Computer Science, Engineering, or related technical field or equivalent practical experience, • Continuous self-education in cloud technologies, distributed systems and infrastructure optimization Key employee benefits in the US: • Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families., • 401(k) plan: Up to 4% company match with immediate vesting., • Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers., • Remote work reimbursement: Up to $85/month for mobile and internet., • Disability & life insurance: Company-paid short-term, long-term and life insurance coverage. Compensation We offer competitive salaries, ranging from 215k - 275k OTE (On Target Earnings) + equity based on your experience. Join Nebius Today! What we offer • Competitive salary and comprehensive benefits package., • Opportunities for professional growth within Nebius., • Flexible working arrangements., • A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

Job DescriptionSalary: DOE Senior Robotics Software Engineer (Autonomy) About VTI Aerospace VTI Aerospace builds AI-powered perception and pilot assist technologies to unlock the future of aviation. With offices in Bozeman, MT and Seattle, WA, we are a team of engineers and technologists from Boeing, Airbus, Aurora, and beyond. We are passionate about pushing the boundaries of autonomy and aviation safety. Our company is dedicated to advancing the field of aviation with cutting-edge solutions The Role As a Senior Robotics Software Engineer (Autonomy), you will develop and deploy onboard autonomy capabilities that power our FlightStack system. Working on edge compute systems in non-network-connected environments, you will design and implement robotic functions that enable reliable perception, localization, path planning, and contextual understanding in real-world conditions. You will work closely with machine learning engineers and autonomy engineers to integrate perception models, sensor data, and control logic into robust robotics systems that operate reliably on embedded platforms. This role is ideal for someone who enjoys building real-world robotic systems that operate under real-world constraints, and wants to have a direct impact on the performance and reliability of autonomous aviation systems. What You'll Do • Design and develop robotics software for onboard autonomy using ROS2, Python, and C++, • Build and maintain systems supporting perception, localization, mapping, and path planning, • Integrate machine learning perception models into real-time robotics pipelines, • Develop software that fuses data from EO cameras, LiDAR, GPS, INS, and IMU sensors, • Design and implement contextual reasoning and autonomy behaviors for real-world operations, • Optimize robotics systems for edge compute environments and constrained hardware platforms, • Implement and improve algorithms for localization, state estimation, and environmental awareness, • Collaborate with ML engineers to integrate perception capabilities into production autonomy systems, • Work with autonomy engineers to design robust and modular robotics system architecture, • Test, debug, and improve robotic systems in real-world flight environments What We're Looking For • 5+ years of experience developing robotics or autonomous systems software, • Strong programming experience in C++ and Python, • Experience developing robotics systems using ROS2 or similar robotics middleware, • Experience building real-time or near real-time robotic software systems, • Experience integrating and processing sensor data such as cameras, LiDAR, GPS, and IMU, • Experience designing or implementing perception, localization, or path planning systems, • Strong debugging and system integration skills for complex robotics systems, • Ability to work closely with machine learning and autonomy engineers to deploy models into real-world systems, • Experience optimizing software for edge or embedded compute environments Bonus Points • Experience with SLAM, mapping, or state estimation systems, • Experience with sensor fusion across multiple sensing modalities, • Experience working with autonomous vehicles, UAVs, or robotics platforms, • Experience deploying machine learning inference on embedded or edge compute systems, • Experience optimizing robotics systems for constrained hardware environments, • Experience with real-world robotics testing and deployment Why You'll Love Working Here • Opportunity to work on meaningful problems in aviation and deliver products to industry at a rapid pace, • Small team with significant impact on company direction, • Collaborative and innovative environment, • Competitive compensation and benefits, • Opportunities for growth and leadership Location Work arrangement: On-site Primary location: Seattle or Bozeman Compensation & Benefits Salary range: DOE Benefits may include: Health, dental, and vision insurance Retirement plan or 401(k) Paid time off and holidays Professional development opportunities Equal Opportunity Statement VTI is proud to be an equal opportunity employer. We value diverse perspectives and encourage candidates from all backgrounds to apply

Job Description The Lumber Manufactory (TLM) is building the future of sustainable lumber with next-generation sawmill technology. We design and operate state-of-the-art modular sawmills that produce high-grade dimensional wood products with greater efficiency and less waste. Backed by leading investors including Cantos, Slow Ventures, Susa Ventures, Banter Capital, Humba Ventures, and Ravelin Capital. The Lumber Manufactory (TLM) is seeking a Senior Design Engineer to co-own the development of our next-generation sawmill from the ground up. You will work in a small team of engineers and technicians, bringing senior technical judgment, hands-on design instincts, and the kind of launch experience that closes the gap between what's drawn and what works in the field. If you've spent your career at a large company doing iterative work on a mature platform and you're ready to own something from scratch, this is that opportunity. This role is based in the Seattle area and is best suited for candidates who are already local or are excited to put down roots here, with frequent and regular travel to our Mississippi mill sites. What You'll Do Co-own the design and development of TLM's next-generation sawmill from concept through commissioning Design complex mechanical systems integrating hydraulic, pneumatic, and sensor controls for lumber processing Lead failure analysis and root cause investigations, driving corrective actions to full closure Document design development and analysis; lead cross-functional brainstorming and design reviews Author equipment installation and test procedures, and see them used in the field Manage part procurement and vendor relationships through design, prototyping, and production Engage and manage external vendors Collaborate with on-site engineers and technicians in Mississippi on installation, testing, and field feedback Provide regular updates to cross-functional partners across a distributed team Adapt to changing priorities and support team and operational needs as they evolve What We're Looking For Required: Bachelor's degree in mechanical engineering 10+ years of experience in mechanical design and/or manufacturing engineering Demonstrated experience taking complex physical products from concept to working hardware — zero-to-one, not incremental iteration on a mature platform Hands-on background: you've worked in a shop, on a production floor, or directly alongside manufacturing at some point in your career Strong experience with 3D CAD software; Autodesk Inventor is a bonus Strong experience with GD&T and tolerance stack-up analysis on 2D drawings Experience with hydraulic and pneumatic systems Experience with finite element analysis Excellent communication skills and a collaborative approach to working across a distributed team Demonstrated ability to create and drive new processes independently Comfortable working in an active production environment: at heights, with PPE Willingness to travel 25-33% to our Mississippi mill sites and remain accessible outside standard hours for a cross-geography team What would make you stand out: Design experience in industries with large electromechanical or driven mechanical systems — powertrain, agricultural equipment, industrial automation, mining, oil and gas capital equipment, or heavy manufacturing Experience working in a startup Experience with FMEA or PFMEA in a real production or NPI context PLC experience; indirect is fine Sawmill or timber industry experience Lean Six Sigma or equivalent process improvement background The expected starting annual base salary for this position is $170,000. Our compensation and benefits package includes comprehensive health coverage, life insurance, and flexible time off. The applicable annual base salary paid to a successful applicant will be determined based on multiple factors, including but not limited to the nature and extent of prior experience and educational background. We offer competitive compensation and comprehensive benefits, including: 100% employer-paid health coverage for employees and dependents (medical, dental, and vision) 100% employer-paid life insurance and disability coverage Paid time off and company holidays The opportunity to help build something from the ground up in an essential, evolving industry Join our team as we modernize timber from forest to finished product. The Lumber Manufactory is an equal opportunity employer committed to building an inclusive team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

Job DescriptionAbout Phaidra Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades. Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically: • We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions., • We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning., • We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them. Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact. Phaidra's ability to achieve its mission is determined by our ability to work together — as defined by our core values: Transparency, Collaboration, Operational Excellence, Ownership, and Empathy. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture Phaidra is based in the USA, but we are 100% remote with no physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India. Who You Are As a Data Scientist on this team, you are the "bridge" between raw infrastructure telemetry and actionable operational intelligence. You don't just see numbers; you possess a deep mechanical and electrical empathy that allows you to read a system's data as a doctor reads a patient's chart. You are highly inquisitive, approaching complex anomalies without bias to uncover true root causes. This is not a "hide behind the keyboard" role. You thrive in a hands-off environment, treating your space with a sense of proactive ownership and treating your peers as fellow experts. You are a truth-teller who uses thorough, compassionate communication to persuade others and drive impact in the high-stakes world of data center uptime. We expect our Data Scientists to arrive ready to own their space and contribute to the team's collective success immediately. **We are seeking a U.S.-based team member (Pacific Time Zone preferred) with flexibility to work hours that overlap with APAC time zones as needed. Responsibilities You will utilize our existing data ingestion and delivery platforms to "teach" our models to understand the physical world, filling a critical expertise gap in the data center industry. • Multidisciplinary Diagnostic Analysis: Use telemetry tools to analyze sensor data across mechanical (chillers, pumps) and electrical (UPS, switchgear, power feeds) systems to identify "failure signatures" for our LLM-driven monitoring tool., • Refining the Logic Engine: Act as a primary user of our platforms, identifying gaps in our current mechanisms and collaborating with Engineering to influence future features and data quality., • Operational Insight Generation: Translate raw telemetry into the "SME-level" logic and directions used by our LLM tool to guide data center operators in real-time., • SME Development: Cultivate deep domain expertise in all facets of data center infrastructure. You will be expected to master the nuances of both mechanical and electrical dependencies to ensure our product reflects operational reality., • Customer Guidance: Move from shadowing peers to directly supporting customers, using our platform to provide clear, data-backed direction on complex problems., • Model Validation: Oversee pilot projects to test how our AI-driven SME tool interprets real-world stressors, ensuring the output is operationally realistic, accurate, and actionable., • Adaptability: Remain agile and proactive. As a member of a fast-moving team, you will encounter challenges and scopes not explicitly defined here; we expect you to lean in and solve them.Key Qualifications, • Educational Background: Bachelor's degree in Mechanical Engineering, Electrical Engineering, Control Theory, or a related field that provides a foundation in physical systems and thermodynamics., • Analytical Grit: A deep, innate interest in using data to diagnose how and why systems fail. You are a "tinkerer" who prefers solving real-world problems over theoretical research., • Technical Proficiency: Strong Python skills and experience with data manipulation libraries (Pandas/NumPy) to perform custom analysis outside of standard tooling., • Communication Mastery: Ability to explain complex diagnostic findings clearly and persuasively to both technical peers and non-domain stakeholders., • Unbiased Problem-Solving: A proven ability to look at a problem without preconceived notions and figure out solutions either independently or via team collaboration., • Alignment with Values: Demonstrated commitment to Transparency, Collaboration, and Ownership—especially in environments where reliability and learning from failure are paramount.Preferred Skills & Experience, • Infrastructure Exposure: Experience with critical infrastructure components (HVAC, power distribution, or industrial automation)., • Industrial IoT: Experience with time-series data from industrial sensors (SCADA, BMS, Smart Meters)., • AI/LLM Curiosity: Exposure to or a strong interest in how LLMs can be used for root-cause analysis and automated reporting.Onboarding In your first 30 days… • Familiarize yourself with the company handbook and team roadmap., • Review existing system ontologies and sensor data structures across both mechanical and electrical domains., • Shadow senior team members during customer diagnostic reviews to understand the "voice" of the SME. In your first 60 days… • Build full proficiency in our internal data tools and analysis workflows., • Identify failure signatures in customer data with peer guidance and begin automating detection logic., • Identify at least one gap in our current tooling and propose a logic-based solution to Engineering. In your first 90 days… • Provide direct guidance to customers on anomalies with peer support, moving toward full self-sufficiency., • Contribute to the refinement of the LLM "instruction set" for cross-disciplinary diagnostics., • Present a post-incident analysis correlating telemetry to a real-world root cause to the broader product team.Base Salary US Residents: • Tier 1 (Largest highest-cost metros): $119,200 - $163,900, • Tier 2 (Other major metros): $113,240 - $155,705, • Tier 3 (Mid-sized metro areas): $107,280 - $147,510, • Tier 4 (All other locations): $101,320 - $139,315 In addition to base salary, this position is eligible for equity. Final salary will be determined based on several factors, including a candidate's qualifications, skills, competencies, experience, expertise, education and location. In some cases, final compensation may fall outside the posted range. Salary ranges are regularly reviewed and may be adjusted in response to market trends. Benefits & Perks • Fast-paced, team-oriented environment where your work directly shapes the company's direction., • We are a 100% remote company., • Competitive compensation & meaningful equity., • Outsized responsibilities & professional development., • Training is foundational; functional, customer immersion, and development training., • Medical, dental, and vision insurance (exact benefits vary by region)., • Unlimited paid time off, with a required minimum of 20 days per year., • Paid parental leave (exact benefits vary by region)., • Flexible stipends to support your workspace, well-being, and continued professional development., • Company MacBook. Please note: Not all of Phaidra's benefits and perks listed above apply to temporary employees such as interns. On being Remote We take a thoughtful and intentional approach to remote collaboration. Inspired by pioneers like GitLab, we embrace proven best practices to foster an exceptional remote work environment. Our culture is documentation-first, and we prioritize asynchronous communication to support focus and flexibility across time zones. While we value independence, we stay closely connected through tools like Slack and video conferencing. Weekly all-hands meetings help us align and build strong relationships, and we regularly host virtual team-building activities and social events to maintain a sense of camaraderie. Equal Opportunity Employment Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at hiring@phaidra.ai. E-Verify Notice Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee's Form I-9 to confirm work authorization for those residing in the United States. Additional information about E-Verify can be found here. #LI-Remote To be considered for any position at Phaidra, you must submit an online application. This role will remain open until it is filled. Phaidra only hires individuals who are legally authorized to work in the specified location(s) above. We do not provide employment sponsorship. Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire. WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.

Job Description The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy—all without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers address labor shortages and rising costs. Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington, the LaserWeeder is setting a new standard for automated weed control. With $157 million in funding from prominent investors such as BOND, NVentures (NVIDIA's venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital, Carbon Robotics is driving innovation. As a no-nonsense team with a bias for action, we take pride in executing our ideas. Whether it's designing transformative technology or visiting farms to ensure our products are reliable and safe, we do whatever it takes to deliver for our customers. Working here means tackling big problems with big impact. You'll find opportunities to grow professionally, solve complex challenges, and make meaningful contributions to a mission that matters. At Carbon Robotics, we trust our team to act independently and make practical, real-world decisions. Join us as we innovate, execute, and build the future of farming together. YouTube | X | Instagram | LinkedIn | News As Electrical Engineer, PCB Design at Carbon Robotics, you will design the circuit boards that power our revolutionary products. You'll create everything from high-reliability embedded control boards to power electronics that operate in harsh agricultural environments. From rapid prototyping to optimizing for high-volume manufacturing, you'll do whatever it takes - which might include going to the farm - to ensure our customers have reliable and safe products. What you'll do: • Design PCBs for diverse applications including laser control systems, motor drives, power distribution, control panels, vehicle ECUs, and sensor interfaces, • Create high-speed digital boards for embedded computing, image processing, and real-time control systems, • Develop power electronics PCBs handling high currents for motor control and power distribution, • Design mixed-signal boards integrating precision analog, digital processing, and power management, • Optimize PCB layouts for EMI/EMC compliance, thermal management, and automotive reliability standards, • Implement design for manufacturing (DFM) and design for test (DFT) strategies across product lines, • Collaborate with firmware teams on microcontroller selection, memory architecture, and peripheral interfaces, • Support contract manufacturers through prototyping, bring-up, test development, and production ramp Knowledge, Skills, and Abilities for Success: • 2 - 8+ years experience in PCB design for embedded systems and power electronics, • Expert proficiency in Altium Designer (v18+) including multi-board projects and multi layer designs as well as analytical design optimization tools, • Proficiency in embedded systems including microcontrollers, FPGAs, and communication interfaces, • Significant experience with power electronics layout including thermal management and high-current routing, • Experience with high-speed digital design (DDR interfaces, differential pairs, impedance control), • Previous experience developing PCBs for agricultural/automotive/aerospace applications that meet strict environmental (vibration, temperature, high humidity, EMC) and regulatory requirements., • Understanding of manufacturing processes, component selection, and cost optimization, • Willingness to travel ~10% of the time to support products in the production & field environments with a demonstrated ability to work directly with internal and external stakeholders/customers, • BS+ in Electrical Engineering or related field Carbon Robotics follows equitable hiring practices. Flexibility in our hiring process allows hiring of talent at levels different from what are posted. The compensation range outlined is based on a target budgeted base salary. Individual base pay depends on various factors such as relevant experience and skill, Interview assessments and responsibility of role, job duties/requirements. Offers are determined using our equitable hiring practices. Carbon Robotics offers additional compensation in the form of benefits premiums, pre-IPO stock options and On Target Earning commissions for appropriate positions. Base pay ranges are reviewed each year. We are committed to the principle of pay equity – paying employees equitably for similar work. Carbon Robotics' base salary pay range:$115,000—$135,000 USD Why would you join Carbon Robotics? Passion for building teams capable of solving uniquely interesting problems. Innovation while disrupting the market is what we do. Profiled in WSJ and Forbes, Carbon Robotics is poised to become the next billion dollar company in the rapidly growing worldwide Ag-Tech industry. We offer competitive compensation and benefits to our full time US based* employees, including: • Competitive salaries, • Pre-IPO Stock Options, • Generous Benefits:, • Fully-paid medical, dental, and vision insurance premiums for you and all dependents, • Choice of PPO or HDHP/HSA, • Virtual Care - Doctor on Demand, • Employee Assistance Program, • Mental Health HRA, • Restricted Healthcare Travel support, • Menopause Support, • Life Insurance, • Long Term Disability, • Flexible PTO, • 401(k) plan, • Pet Insurance, • Commuter Benefits, • Work Culture: Be a part of an inclusive and tight-knit company culture that values innovation and mission-driven success. *Internationally based employees benefits varies & Contractors are not eligible for Carbon Robotics Benefits or Stock Carbon Robotics is building a culture of diversity and inclusion for all. We welcome everyone's voice and believe in open and transparent communication. We believe the best products, services, and companies are built by strong teams that include a diversity of backgrounds, perspectives, ideas, and experiences. We are committed to supporting and enabling growth and opportunity for every employee at every level. This is the foundation to which we will build a truly unique environment. We are equally committed to equal employment opportunity, and it is foundational to how we recruit and hire our talented team. Employment is determined based upon capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including potential pregnancy, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability , HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law. #talentacquisition #laserweeding #laserweeder #weedcontrol #agtech #agtechnology #farmtech #robotics #lasers #lasersandrobots #missiondriven #AI #startup #wearehiring #computervision #machinelearning #carbonrobotics

Job Description The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy—all without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers address labor shortages and rising costs. Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington, the LaserWeeder is setting a new standard for automated weed control. With $157 million in funding from prominent investors such as BOND, NVentures (NVIDIA's venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital, Carbon Robotics is driving innovation. As a no-nonsense team with a bias for action, we take pride in executing our ideas. Whether it's designing transformative technology or visiting farms to ensure our products are reliable and safe, we do whatever it takes to deliver for our customers. Working here means tackling big problems with big impact. You'll find opportunities to grow professionally, solve complex challenges, and make meaningful contributions to a mission that matters. At Carbon Robotics, we trust our team to act independently and make practical, real-world decisions. Join us as we innovate, execute, and build the future of farming together. YouTube | X | Instagram | LinkedIn | News Deep Learning Engineer As a Deep Learning Engineer at Carbon Robotics, you will contribute to designing, developing, and deploying novel deep learning systems that power our autonomous laser weeding robots in the field. What You'll Do • Lead the design and execution of experiments to develop and validate novel deep learning architectures for computer vision in agricultural environments, • Own model optimization and deployment pipelines — ensuring high performance, reliability, and scalability across operational field deployments, • Drive end-to-end ML workflows from data strategy and pipeline design through evaluation and production deployment, • Define best practices for experimentation, documentation, and model evaluation within the team, • Partner with Engineering and Product Management to scope, prioritize, and deliver high-impact features, • Mentor and provide technical guidance to mid-level and junior engineers, • Communicate model architecture decisions, tradeoffs, and performance results to both technical and non-technical audiences Knowledge, Skills & Abilities • 2-4 years of professional experience designing and implementing novel deep learning architectures for production computer vision systems, • Deep understanding of foundational deep learning mathematics and the ability to apply first-principles thinking to architecture decisions, • Hands-on experience working across the software stack, including sensor integration and web services, ideally within a robotics or autonomous field equipment platform, • Experience with deep learning frameworks, particularly PyTorch, and proficiency in C++ for performance-critical model development and deployment, • Proven track record taking ML projects from inception through business impact — including data strategy, pipeline development, experimentation, and deployment at scale, • Strong expertise in modern object detection techniques (vision transformers, anchor-free detectors, embeddings, and beyond), • Experience in autonomous driving or ADAS is a plus — background in perception pipelines, sensor fusion, or real-time inference in outdoor or unstructured environments is highly valued, • Comfort navigating ambiguity and making principled technical decisions in rapidly evolving technical landscapes, • Strong verbal and written communication skills — able to explain complex model behavior and tradeoffs to non-technical staff and customers, • Experience mentoring engineers and contributing to team technical culture Requirements • 2-7 years of experience in deep learning model optimization and deployment, • BS+ in Computer Science, Machine Learning, or a related field (or equivalent experience) In Office Requirements • We're a collaborative, in-person team — this role is based in our Seattle office with at least 4 days per week on-site Carbon Robotics follows equitable hiring practices. Flexibility in our hiring process allows hiring of talent at levels different from what are posted. The compensation range outlined is based on a target budgeted base salary. Individual base pay depends on various factors such as relevant experience and skill, Interview assessments and responsibility of role, job duties/requirements. Offers are determined using our equitable hiring practices. Carbon Robotics offers additional compensation in the form of benefits premiums, pre-IPO stock options and On Target Earning commissions for appropriate positions. Base pay ranges are reviewed each year. We are committed to the principle of pay equity – paying employees equitably for similar work. Carbon Robotics' base salary pay range:$140,000—$220,000 USD Why would you join Carbon Robotics? Passion for building teams capable of solving uniquely interesting problems. Innovation while disrupting the market is what we do. Profiled in WSJ and Forbes, Carbon Robotics is poised to become the next billion dollar company in the rapidly growing worldwide Ag-Tech industry. We offer competitive compensation and benefits to our full time US based* employees, including: • Competitive salaries, • Pre-IPO Stock Options, • Generous Benefits:, • Fully-paid medical, dental, and vision insurance premiums for you and all dependents, • Choice of PPO or HDHP/HSA, • Virtual Care - Doctor on Demand, • Employee Assistance Program, • Mental Health HRA, • Restricted Healthcare Travel support, • Menopause Support, • Life Insurance, • Long Term Disability, • Flexible PTO, • 401(k) plan, • Pet Insurance, • Commuter Benefits, • Work Culture: Be a part of an inclusive and tight-knit company culture that values innovation and mission-driven success. *Internationally based employees benefits varies & Contractors are not eligible for Carbon Robotics Benefits or Stock Carbon Robotics is building a culture of diversity and inclusion for all. We welcome everyone's voice and believe in open and transparent communication. We believe the best products, services, and companies are built by strong teams that include a diversity of backgrounds, perspectives, ideas, and experiences. We are committed to supporting and enabling growth and opportunity for every employee at every level. This is the foundation to which we will build a truly unique environment. We are equally committed to equal employment opportunity, and it is foundational to how we recruit and hire our talented team. Employment is determined based upon capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including potential pregnancy, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability , HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law. #talentacquisition #laserweeding #laserweeder #weedcontrol #agtech #agtechnology #farmtech #robotics #lasers #lasersandrobots #missiondriven #AI #startup #wearehiring #computervision #machinelearning #carbonrobotics

Job DescriptionAbout Phaidra Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades. Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically: • We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions., • We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning., • We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them. Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact. Phaidra's ability to achieve its mission is determined by our ability to work together — as defined by our core values: Transparency, Collaboration, Operational Excellence, Ownership, and Empathy. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture Phaidra is based in the USA, but we are 100% remote with no physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India. Who You Are You will develop and own key parts of Phaidra's internal developer platform, including golden paths, GitOps workflows, and cloud-native foundations that product and ML teams depend on. The ideal candidate could be described as: • Pragmatic and product-minded. You treat developer experience, reliability, and operational cost as first-class outcomes., • Comfortable partnering across engineering, SRE, and security in an all-remote setting., • Aligned with our values: Transparency, Collaboration, Operational Excellence, Ownership, & Empathy. **We are seeking a team member based in the United States or Canada. Responsibilities • Developer Platform, • Own the delivery of a scoped set of developer platform capabilities end-to-end (design, implementation, rollout, iteration)., • Build and evolve paved roads (golden paths, service templates, scaffolding) that make it easy to deploy, operate, and scale services., • Run tight feedback loops with engineers across product and ML teams; measure adoption and eliminate common friction points., • GitOps, CI/CD, and Delivery Workflows, • Drive improvements to GitOps workflows via ArgoCD and Terraform automation via Atlantis., • Harden CI/CD on GitLab CI, including pipeline performance, safety, and developer ergonomics., • Design progressive delivery patterns (canary, blue/green) as reusable platform primitives., • Reliability + Operational Excellence, • Contribute to SLI/SLO frameworks and shared observability primitives (Prometheus, Grafana, Loki, Tempo, OpenTelemetry)., • Participate in the platform team's on-call rotation; reduce toil through automation and better system design., • Improve incident response and postmortem practice so learnings translate into systemic fixes., • Security Defaults + Platform Standards, • Embed secure-by-default patterns into platform templates (secrets, IAM, RBAC, NetworkPolicies)., • Partner with security on compliance posture (SOC 2, ISO 27001) without slowing delivery., • Infrastructure Foundations, • Partner with infrastructure/SRE owners on Kubernetes and core cloud foundations (networking, storage, cluster/platform primitives) where it directly improves developer workflows., • Evolve cloud-native abstractions so the platform remains portable and resilient as our footprint grows (GCP today, with future optionality across providers).Key Qualifications, • 5+ years of professional experience in platform engineering, infrastructure engineering, or SRE, • Production experience operating in at least one major cloud (GCP, AWS, or Azure), • GitOps fluency with production experience (ArgoCD, Flux, or equivalent), including rollout, drift detection, and recovery patterns, • Experience building or operating key components of an internal developer platform (e.g., self-service deployment/operations workflows, golden paths/service templates, developer portals, platform APIs, or developer tooling), • Infrastructure-as-code experience: Terraform plus a configuration system (Kapitan, Helm, Kustomize, or similar), • Software engineering experience in a major high level language. Comfortable writing libraries, CLIs or APIs., • Demonstrated ability to lead technical initiatives across multiple teamsPreferred Skills & Experience, • Experience in organizations with distinct platform and productivity engineering functions., • GitLab CI pipeline design and infrastructure operation at scale., • Deep Kubernetes fluency, operating multi-cluster production environments and debugging at the node and controller level., • Distributed tracing and advanced observability (OpenTelemetry, Tempo).Nice-to-haves, • Hands-on AI/ML infrastructure at scale: GPU scheduling, distributed training, model serving, vector stores, or feature stores., • Cost optimization and FinOps practices, especially for GPU and model-serving workloads., • Service mesh and proxy patterns (Envoy, HAProxy, Istio, Nginx)., • Multi-cloud experience or cloud-agnostic abstractions (Crossplane, Terraform modules, etc.)., • Kubernetes operator development and deployment.Our Stack, • Languages: Python, Go, Bash, • IaC & Config: Kapitan, Terraform, Crossplane, • Containers & Orchestration: Kubernetes, • CI/CD & Delivery: GitLab CI, ArgoCD, Atlantis, • Observability: Grafana, Prometheus, OpenTelemetryOnboarding In your first 30 days... • You will be immersed in an onboarding program that introduces you to Phaidra and our product., • You will spend time in the Infrastructure and Engineering orgs, learning how teams operate, interact, and approach problems., • You will read the handbook and our onboarding materials to internalize Abstractions, Standards, Baselines, and Archetypes., • You will set up your development environment and complete an onboarding exercise., • You will learn team standards, release processes, and how we use GitOps and Kapitan., • You will shadow the platform on-call rotation. By your first 60 days... • You will have a solid understanding of Phaidra's platform and how engineering and research teams consume it., • You will have met with team members across Phaidra and started building collaborative relationships., • You will have completed the onboarding exercise and shipped a first scoped platform improvement (golden path, GitOps change, or self-service tool). By your first 90 days... • You will be fully integrated into the team and collaborating effectively across the company., • You will have participated in the on-call rotation and contributed improvements to reliability and operational practices., • You will be comfortable with our tooling and drive a cross-team platform initiative with measurable developer impact.General Interview Process All of our interviews are held via Google Meet, and an active camera connection is required. All of our interviews are held via Google Meet, and an active camera connection is required. Meeting with Operations (30 minutes): The purpose of this interview is to meet you, learn more about your background, discuss what you are looking for in a new position and cover formalities around your application. Hiring Manager interview (30 minutes): This is an introduction call with the hiring manager so that the candidate and the hiring manager can get to know each other better. It will mainly focus on your previous experience and technical background. This meeting is also meant to enable you to ask any questions about the team & role. Technical Interview (60 minutes): This technical interview will involve candidate designing a developer-facing platform capability end to end. Culture fit interview with Phaidra's co-founders (30 minutes): This interview focuses on alignment with Phaidra's values and the mutual cultural fit. Base Salary US Residents: • Tier 1 (Largest highest-cost metros): 149,600 USD - 205,700 USD, • Tier 2 (Other major metros): 142,129 USD - 195,415 USD, • Tier 3 (Mid-sized metro areas): 134,640 USD - 185,130 USD, • Tier 4 (All other locations): 127,160 USD - 174,845 USD Canada Residents: • Tier 1 (Vancouver): 153,660 CAD - 211,280 CAD, • Tier 2 (Toronto): 143,410 CAD - 195,830 CAD, • Tier 3 (Montreal): 122,930 CAD - 169,020 CAD, • Tier 4 (Smaller cities / rural areas): 112,680 CAD - 154,930 CAD In addition to base salary, this position is eligible for equity. Final salary will be determined based on several factors, including a candidate's qualifications, skills, competencies, experience, expertise, education and location. In some cases, final compensation may fall outside the posted range. Salary ranges are regularly reviewed and may be adjusted in response to market trends. Benefits & Perks • Fast-paced, team-oriented environment where your work directly shapes the company's direction., • We are a 100% remote company., • Competitive compensation & meaningful equity., • Outsized responsibilities & professional development., • Training is foundational; functional, customer immersion, and development training., • Medical, dental, and vision insurance (exact benefits vary by region)., • Unlimited paid time off, with a required minimum of 20 days per year., • Paid parental leave (exact benefits vary by region)., • Flexible stipends to support your workspace, well-being, and continued professional development., • Company MacBook. Please note: Not all of Phaidra's benefits and perks listed above apply to temporary employees such as interns. On being Remote We take a thoughtful and intentional approach to remote collaboration. Inspired by pioneers like GitLab, we embrace proven best practices to foster an exceptional remote work environment. Our culture is documentation-first, and we prioritize asynchronous communication to support focus and flexibility across time zones. While we value independence, we stay closely connected through tools like Slack and video conferencing. Weekly all-hands meetings help us align and build strong relationships, and we regularly host virtual team-building activities and social events to maintain a sense of camaraderie. Equal Opportunity Employment Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at hiring@phaidra.ai. E-Verify Notice Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee's Form I-9 to confirm work authorization for those residing in the United States. Additional information about E-Verify can be found here. #LI-Remote To be considered for any position at Phaidra, you must submit an online application. This role will remain open until it is filled. Phaidra only hires individuals who are legally authorized to work in the specified location(s) above. We do not provide employment sponsorship. Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire. Candidates who advance beyond the initial screening stage will be required to sign a Non-Disclosure Agreement (NDA) in order to continue through the interview process. All employment offers are contingent upon successful completion of employment authorization verification and applicable background checks, in accordance with local laws and company policies. WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.

Job DescriptionAbout Phaidra Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades. Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically: • We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions., • We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning., • We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them. Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact. Phaidra's ability to achieve its mission is determined by our ability to work together — as defined by our core values: Transparency, Collaboration, Operational Excellence, Ownership, and Empathy. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture Phaidra is based in the USA, but we are 100% remote with no physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India. Who You Are As an AI Controls Solutions Engineer, you'll play a critical role in operationalizing and scaling Phaidra's solutions for enterprise data center customers. We are seeking a team member located in the following area: USA. Responsibilities You will work closely with the Technical Program Managers (TPMs) and Data Scientists (DSs), as the technical experts for Phaidra's customers. Your role is to use Phaidra's platform and tools to put AI into production. This role can be broken down into two concrete areas of responsibility: • As the subject matter expert, (SME), you will use Phaidra's products and your knowledge of the customers' needs to create a model of the facility for ingestion by our product lineup. This will require working closely with our Data Science team. You'll create a representation of the facility in Mort system builder, map tag data, review our Insights logic for facility specific requirements, and assist in analyzing and triaging these systems in the support phase., • You will work with the product team to identify and define product requirements based upon each customer's specification and needs. You will work closely with other AI Controls Solutions Engineers and the Product team to ensure our automated tools enable Phaidra to scale across thousands of customers. *This role can include 25% travel Key Qualifications • 10-15 years of work experience as a controls engineer, programmer, or equivalent, • Possesses expertise in HVAC and Data Center cooling control methodologies and strategies and displays knowledge of chiller plant fundamentals, configurations, and sequence of operations, • Ability to operate as an Solutions Engineer independently., • Understanding of applied thermodynamics for cooling systems, refrigeration systems, and hydronics., • Experience designing, programming, or strong working knowledge of industrial and commercial control systems and protocols such as BACnet and Modbus., • Understanding the applications and control strategies of air side chilled water and direct expansion cooling systems., • Ability to troubleshoot, triage, and analyze issues with control systems and equipment., • Strong proficiency in working with data center operations teams and contributing to solving field operations related problems and challenges., • Experience programming control systems with PLC, ladder logic, text, or block programming languages., • Ability to analyze the performance and viability of your engineered solutions., • Passion for problem solving and using scalable solutions to solve repeat problems., • Ability to translate a combination of customer-stated and customer-implied needs into coherent needs documentation for use by the software development team., • Good educational background in one or more related disciplines pertinent to your area of expertise. Example disciplines include Mechanical Engineering, Computer Science, Software Engineering, Control Theory, Applied Mathematics and other various engineering and applied science fields., • Ability to read and write Python scripts (in collaboration with the software engineering team) to implement Insights and scrappy tooling., • Ability to work independently to resolve onboarding or support tickets by coordinating with the right people or providing direct solutions. You will possesses deep knowledge of Phaidra's pipelines and effectively identify and addresses issues and manage risks actively., • Exhibits excellent communication skills and has the ability to explain complex domain specific concepts to non-domain experts and also explain complex AI and ML specific concepts to non-AI/ML specific customers., • Ability to own and manage large sections of documentation, fostering a culture of high standards in documentation and communication., • Ability to understand customers well and drive a culture of pragmatic urgency and customer satisfaction., • Ability to lead the deployment and support of multiple Solutions, perhaps in parallel., • Ability to own project delivery within team, work as an independent contributor, and rally other individuals on the team to accomplish substantial tasks that cannot be completed independently., • Ability to mentor peers, delegate within team, handle project stakeholders, build relationships with other departments within Phaidra, and collaborate with their manager on the roadmap, backlog, and work planning., • Shares our company values: Collaboration, Transparency, Operational Excellence, Ownership, & EmpathyPreferred Skills & Experience, • Experience with rapidly prototyping new technologies and converting into commercially viable products., • Experience building, owning, and operating your own codebases/services., • Experience architecting services within cloud platforms., • Experience applying AI and ML in controls applications., • Experience with statistics, analytics, etc., • Experience with domain relevant optimization problems and solutions., • Familiarity with markup languages like Xml, Json, or Yaml.Onboarding In your first 30 days... • You will have a solid understanding of what Phaidra does and how we do it., • You will have met with team members across Phaidra and started building relationships that will help you be successful at your job., • You will have become proficient at navigating the Solution team's processes and software tools. By your first 60 days... • You will introduce yourself to our customers, • You will understand our customer onboarding process, • You will dig into Mort, our project workflow tool, • You will build a toy system from scratch By your first 90 days... • You will participate in troubleshooting issues, • You will participate in customer onboarding and new system creation, • You will create and refine business processes, • You will attend site visitsGeneral Interview Process All of our interviews are held via Google Meet, and an active camera connection is required. • Meeting with People Operations team member (30 minutes), • Meeting with Hiring Manager (60 minutes), • Meeting with Data Science team member (30 minutes), • Meeting with Technical Program Manager (30 minutes), • Culture fit interview with Phaidra's co-founders (30 minutes)Base Salary US Residents: • Tier 1 (Largest highest-cost metros): $140,000 - $192,500, • Tier 2 (Other major metros): $133,000 - $182,875, • Tier 3 (Mid-sized metro areas): $126,000 - $173,250, • Tier 4 (All other locations): $119,000 - $163,625 In addition to base salary, this position is eligible for equity. Final salary will be determined based on several factors, including a candidate's qualifications, skills, competencies, experience, expertise, education and location. In some cases, final compensation may fall outside the posted range. Salary ranges are regularly reviewed and may be adjusted in response to market trends. Benefits & Perks • Fast-paced, team-oriented environment where your work directly shapes the company's direction., • We are a 100% remote company., • Competitive compensation & meaningful equity., • Outsized responsibilities & professional development., • Training is foundational; functional, customer immersion, and development training., • Medical, dental, and vision insurance (exact benefits vary by region)., • Unlimited paid time off, with a required minimum of 20 days per year., • Paid parental leave (exact benefits vary by region)., • Flexible stipends to support your workspace, well-being, and continued professional development., • Company MacBook. Please note: Not all of Phaidra's benefits and perks listed above apply to temporary employees such as interns. On being Remote We take a thoughtful and intentional approach to remote collaboration. Inspired by pioneers like GitLab, we embrace proven best practices to foster an exceptional remote work environment. Our culture is documentation-first, and we prioritize asynchronous communication to support focus and flexibility across time zones. While we value independence, we stay closely connected through tools like Slack and video conferencing. Weekly all-hands meetings help us align and build strong relationships, and we regularly host virtual team-building activities and social events to maintain a sense of camaraderie. Equal Opportunity Employment Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at hiring@phaidra.ai. E-Verify Notice Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee's Form I-9 to confirm work authorization for those residing in the United States. Additional information about E-Verify can be found here. #LI-Remote To be considered for any position at Phaidra, you must submit an online application. This role will remain open until it is filled. Phaidra only hires individuals who are legally authorized to work in the specified location(s) above. We do not provide employment sponsorship. Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire. WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.

Job DescriptionThe 3D Simulation group at Zoox is looking for machine learning engineers to bring the latest research in 3D vision to improve diversity and blur the line between simulation and reality. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. Our ML group is working on generating rich and diverse 3D environments, humans, and environmental conditions, and you will be able to contribute to all of these.In this role, you will: • Research, implement, and optimize state of the art machine learning approaches to improve simulation variation and fidelity, • Collaborate with ML Researchers, Technical Artists and Simulation engineers to bring new ML techniques to our production simulator, • Build scalable, useable cloud pipelines for machine learning solutions in 3D simulation, • Improve rendering and tooling for generating realistic data at scaleQualifications:, • 7+ years of experience with programming and algorithm design, • Fluency in Python and C++, • Experience building and extending radiance field ML models, • Publications or production experience in human-centric 3D vision, 3D reconstruction, or style transfer, • Strong mathematical skills and understanding of probabilistic techniquesBonus Qualifications:, • Bachelor's, Master's or PhD in computer science, mathematics, physics, or related field, • Publications in your field (CVPR, ICCV, RSS, ICRA preferred), • Experience with generative models for 3D or video content, • Experience automating 3D content pipelines using applications like Houdini, Maya, or Blender, • Experience in distributed systems and cloud computing platforms, • Experience in generative camera, lidar, radar, or LWIRBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. 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 DescriptionAbout Galvanick Galvanick protects the industrial world against cyber attacks. Our threat detection platform defends the modern world against criminals and nation-states that target Operational Technology (OT) systems and networks. This is a chance to work in a startup environment with driven individuals committed to solving cybersecurity's big problems. We are backed by Founders Fund, Village Global, MaC Venture Capital, and others. About the Role We are seeking a talented individual to join our team as an Infrastructure Engineer. In this role, you will play a crucial role in building out our internal tooling and pipelines, with the goal of improving developer experience and enabling faster product iteration. You will be hands-on with Kubernetes, deploying, managing and scaling both cloud and on-prem clusters. A core focus of this role is maintaining and evolving our existing observability stack to ensure system reliability and performance visibility as we scale. You will leverage automation and orchestration to optimize delivery practices and costs. If you are passionate about building robust internal systems, improving developer experience, and ensuring the smooth operation of our infrastructure, we would love to hear from you. What You Will Do Design, deploy, and maintain Kubernetes clusters across cloud and on-premise environments, ensuring high availability and scalability. Build and maintain our observability platform using Prometheus, Grafana, and Alertmanager to provide comprehensive metrics collection, visualization, and alerting. Define and track SLIs/SLOs, create actionable dashboards, and implement alerting strategies to proactively detect issues such as sensor failures or data gaps. Embrace automation and leverage infrastructure management tools (e.g., Terraform, Ansible, CDK) to improve deployment pipelines and eliminate recurring issues. Develop and maintain internal tooling to enhance the efficiency and productivity of our development processes. Design and implement CI/CD pipelines that streamline our workflows. Conduct regular maintenance and troubleshooting activities, ensuring the reliability of our systems and equipment. Who You Are Strong experience managing Kubernetes clusters in production environments, including deployment strategies, networking, storage, and troubleshooting. Experience with Kubernetes operators, Helm charts, and GitOps workflows (e.g., ArgoCD, Flux). Hands-on expertise with the Prometheus and Grafana monitoring stack, including PromQL, custom exporters, and dashboard creation. Experience with logging and tracing tools (e.g., Loki, OpenTelemetry, Jaeger). Proficient in CI/CD automation, software development lifecycle, and cloud computing platforms (e.g., AWS, GCP, Azure, GitHub Actions). Experience administering role-based access control (RBAC) and attribute-based access control (ABAC). Comfortable integrating with and managing IAM systems and tools such as Keycloak, Okta, and others. Proficient in scripting and programming languages to implement deployment automation and testing (e.g., Python, Go). Bonus Points Familiarity with service mesh technologies (e.g., Istio, Linkerd). Familiarity with managed Kubernetes cloud platforms such as EKS, GKE, AKS, or Rancher. Familiarity with workflow orchestration tools such as Airflow. Knowledge of security frameworks, compliance, and regulatory standards (e.g., SOC2, GDPR, FedRAMP). You enjoy solving problems and are naturally curious about the technologies and tools you use. Comfortable taking risks and owning the accountability for managing them. You have a bias for action. Startup experience and an understanding of zero to one ideas. You enjoy attacking complex and novel problems. * You hold strong opinions on the best Italian cuisine in the Seattle area. You are able to clearly and reasonably explain pros/cons of various top destinations. Benefits We provide top-of-the-line medical/dental/vision for employees and dependents, and have additional benefits designed to optimize every team member’s vitality, health, and wellness. Our compensation reflects the cost of labor across various geographic markets. The base pay for this position ranges from $100,000/year in our lowest geographic market up to $180,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Galvanick is an early stage startup and base salary is only one component of our compensation package. Depending on the position offered, equity may be provided as part of the compensation package, in addition to medical, financial, and/or other benefits. Location The Galvanick team is based in Seattle. Given that we are an early-stage startup working on an exceptionally hard problem, we expect new team members to be in office. We are happy to cover relocation expenses. ITAR Requirements To conform to US Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a US citizen, lawful permanent resident of the US, protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the US Department of State. Learn more about the ITAR here.

Job Description Fresh Consulting is a design-led, software development and hardware engineering company, offering end-to-end digital services to help companies innovate. We bring together amazing UX designers, sophisticated developers, digital strategists, and top-notch engineers to help companies create fresh experiences that connect humans, systems, and machines. At Fresh Consulting, we strive to hire a workforce representative of the communities we serve, understanding that a diverse workforce strengthens our organization. We value diversity and support a positive and welcoming environment where all of our employees can thrive. See more at freshconsulting.com Why join Fresh? We are tech industry veterans in software, hardware, strategy, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems for people by leveraging robotics, machine learning, and computer vision, among other technologies, with an eye toward the end-to-end user experience. Our teams are agile, diverse, and driven. We believe that the best way to solve complicated, dynamic problems is collaboratively and respectfully. Most of all, we were built from the start as a modern, high-performance services partner that puts people — from our employees to our partners to our clients to their customers, first. Job Description: The Fresh Consulting hardware and robotics team is working with customers to build and deploy fleets of robots into the field. Join us and help to build new state of the art software for both robots and the hardware backends that support them. In this role, you will combine your passion and enthusiasm for robotics, open-source software and hardware technologies. You will work alongside Fresh customers and partners to build solutions, identify industry wide technical trends and help guide strategic technical decision making for the Fresh robotics team. The ideal candidate will have experience with robotics engineering, controls theory, robot simulation, Robotic Operation System and Software development on edge. Excellent business and communication skills are a must to develop and define key business questions and to build data sets that answer open questions. You should be able to work well with clients to understand the business requirements and relevant solution paths. Responsibilities: • Strong contributor on technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, helping create consulting proposals and creating packaged Robotics service offerings., • Work alongside the Fresh Robotics team, mapping individual goals into company efforts and align them with current technology roadmaps, • Integrate architectures and solutions into a cohesive product roadmap in partnership with Product Management, identifying risks and leading project success., • Ensure that features and deliverables meet and exceed quality requirements across products, • Define, analyze and review software requirements to meet defined and anticipated customer needs and system quality and performance standards., • Design software architecture and interfaces and implement functionality, typically using a model-based approach., • Collaborate with other engineering disciplines in planning design and development of systems to ensure software and hardware performance and compatibility. Required Qualifications: • BS/MS in controls engineering, robotics, computer science, or relevant fields., • 2-5 years professional experience in robotics and robotics applications, with 2+ years developing controls software, • Has experience with control systems development including but not limited to:, • Classical and modern control theory, • Feedback control, state estimation and system identification, • Modeling, simulation and analysis of complex dynamical systems and sensors, • Sensor fusion (e.g. IMU, GPS, LIDAR, RADAR), • Implementation of control algorithms on hardware systems., • Extensive experience in C++/Python programming, software design and architecture, and a history of having successfully driven projects to completion., • Strong understanding of design patterns and Object-Oriented Programming (OOP) - concurrency and real-time programming., • Experience developing, simulating, and deploying solutions on mobile robots and robotic arms., • Excellent understanding of ROS (Robot Operating System), including ROS2 Control., • Experience developing software in a Linux environment., • Strong oral and written communication skills., • Experience deploying algorithms for path-planning for one or more agents, SLAM in a dynamic environment, verification and validation of autonomous behaviors. Equal employment opportunity: All qualified persons will be considered for employment without regard to race, color, religion, sex, national origin, age, marital status, familial status, gender identity, sexual orientation, disability for which a reasonable accommodation can be made or any other status protected by law. Assistance will be gladly provided upon request for any applicant with sensory or non-sensory disabilities. Fresh Consulting is a participating E-Verify company. freshconsulting.com Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Range $100K – $115K. Powered by JazzHR Sdi2zxHMfW

Job DescriptionKapta Space, a VC-funded early-stage startup in Seattle, WA, is breaking new ground in Geospatial Intelligence. Our technology centers around a proven, scalable electronically-steered radar for sophisticated spaceborne applications such as earth observation using synthetic aperture radar (SAR) techniques, as well as enabling advanced defense missions such as target tracking on the ground and in the air. Kapta Space is seeking a Senior FPGA Engineer to lead RTL design and FPGA development for radar operation and algorithm implementation. Kapta Space is seeking FPGA Engineers with experience in mission-critical firmware development that have the drive and experience to complete projects independently and on time.You Are the Right Fit for the Role at Kapta Space If: • You are able to work as a member of a multi-disciplinary team in creating firmware requirements, • You are able to architect, design, and implement software for our Kapta radar sensor, • You can work collaboratively with radar algorithm, hardware, software and mechanical engineers to build reliable embedded firmware for the payload, • You are able to evaluate implementation/maintenance, complexity and resource requirements (logic cells, embedded memory, DSP Slices) for control and signal processing routines in RTL. Produce trade-studies to support decision making, • You can integrate RTL designs onto FPGA/SoC platforms with synthesis, place and route, and timing analysis, • You have demonstrated experience with leading verification and validation of FPGA design on prototype and fight hardware, • You are comfortable assisting in the recruiting, interviewing, and hiring additional teammates to our rapidly growing teamRequirements of the Role:, • BS or MS degree in Electrical Engineering, Computer Engineering, or related field, • 8+ years of experience in embedded firmware development (ideally for radar applications), • Experience with bring up and verification of RTL-based designs on targeted HW, • Experience with low-speed interfaces (I2C, SPI, UART, RS422, etc.), • Comfortable with Git, CI, Code Reviews, and Version Control and organized enough to be productive in a lean startup environment, • Experience in RTL design with Verilog/VHDL, • Ability to read schematic diagrams, • Eligible to obtain and maintain an active U.S. Top Secret/SCI security clearance Bonus if candidates have experience and skills in the following areas: • Designing and implementing distributed digital systems, • Implementing digital systems in challenging environments, such as on satellites or airborne systems, • Clock Domain Crossing and Timing Closure, • AMD Ultrascale, Intel Arria10, Lattice Avant, and/or Microchip PolarFire platforms, • Interfaces for high-speed ADC/DACs (JESD204), • Implementing signal processing algorithms in RTL, • Embedded designs with multiple FPGAs and peripheral interfaces (SPI, UART, GPIO, I2C, Ethernet), • Implementing efficient, low latency data movement between FPGAs, processors, storage devices, and networking interfaces, • Working knowledge of networking stacks (Ethernet, TCP/IP), • An active or previously held US Government TS/SCI security clearance is considered a strong plus. Concerned you do not meet all the requirements? Not a problem - please apply even if you do not meet all these criteria.U.S. Citizenship, Lawful Permanent Residency, or Refugee/Asylee Status RequiredTo conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Kapta Employees must be U.S. citizens, lawful U.S. permanent residents (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State or Commerce as applicable. Kapta Space is committed to a diverse and inclusive workplace. We believe that diversity drives innovation, strengthens our team, and broadens our capabilities. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. We welcome applicants from all backgrounds and encourage individuals from underrepresented groups to apply. Kapta Space does not engage with external recruiters or agencies without prior written agreement. If you are a recruiter (individual or agency) and wish to engage with Kapta Space for talent acquisition, please email hr@kaptaspace.com. We may use artificial intelligence (AI) tools to assist our recruitment team but do not replace human judgment. All final hiring decisions are made by humans.

Job DescriptionThe Perception team is pioneering the development of a multi-modality foundation model to drive the next generation of autonomous system intelligence. As a Model Optimization & Deployment Engineer, you will focus on bringing highly efficient, production-ready large-scale models to our on-vehicle stack. We are looking for experts with hands-on experience in compressing, accelerating, and deploying complex models (LLMs, VLMs, or FMs) for power- and thermal-constrained vehicle SOCs. You will optimize the ML models, write custom CUDA kernels, and build highly concurrent inference code to ensure real-time, deterministic execution on edge devices.In this role, you will: • Optimize large-scale models (LLMs, VLMs) using advanced quantization (PTQ, QAT), mixed-precision inference workflows, and parameter-efficient fine-tuning (LoRA, QLoRA). Architect and implement model conversion and compilation pipelines using TensorRT and TensorRT-LLM for edge deployment. Perform rigorous parity checking, accuracy recovery, and latency benchmarking between PyTorch frameworks and compiled edge binaries. • Write and optimize custom CUDA kernels and TensorRT Plugins to maximize memory bandwidth and minimize latency on AI accelerators., • Write production-level, highly concurrent, and memory-safe C++ and Python code for real-time inference on vehicle SOCs. Qualifications: • Deep expertise in model quantization (PTQ, QAT) and mixed-precision inference workflows (INT8, FP8, INT4, BF16/FP16)., • Proven experience optimizing large-scale models (LLMs, VLMs, or VLAs) utilizing KV-cache optimization (e.g., PagedAttention), Speculative Decoding, and Efficient Attention mechanisms (FlashAttention, Linear Attention)., • Extensive experience with model conversion/compilation pipelines (TensorRT, TensorRT-LLM) and performing rigorous parity/latency benchmarking., • Proficiency in low-level programming for AI accelerators, specifically writing and optimizing custom CUDA kernels and TensorRT Plugins., • Production-level C++ (14/17/20) and Python programming skills, with experience writing concurrent, memory-safe, real-time inference code for edge devices.Bonus Qualifications:, • Experience with distributed training pipelines and model/tensor parallelism (PyTorch Distributed, Ray, DeepSpeed, Megatron-LM) and runtime efficiency optimization for GPU clusters., • Familiarity with autonomous driving perception stacks (temporal 3D object detection, BEV, 3D Occupancy Networks) and processing multi-modal sensor streams (Vision, LiDAR, Radar)., • Understanding of end-to-end autonomous driving paradigms (VLA models, closed-loop simulation validation).Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionSENIOR ELECTRICAL ENGINEER At Andrews Cooper, we specialize in delivering cutting-edge engineering solutions in the HardTech space, partnering with industry leaders in Consumer Technology, Medical Technology, Clean Technology, and Automation & Robotics. With a mission to solve novel, ambiguous challenges, we help our customers achieve significant differentiation and success in their industries. Our people-first culture is built on the core values of Own It, Help Each Other Win, and Be Cool, creating an environment where engineers can build fulfilling careers while delivering exceptional work. The Core Values we embody: • Help Each Other Win—AC values winning as a team over personal recognition. Go out of your way to help a teammate and the team succeed., • Own It—Don’t wait for someone else to clear the way. Recognize opportunities to improve, and when obstacles arise, join forces to overcome them., • Be Cool—Be self-aware, maintain a positive attitude, prioritize emotional intelligence, and maintain composure under pressure.If you’re passionate about solving complex engineering problems, collaborating with forward-thinking teams, and making an impact in the world of Hardware Technology, Andrews Cooper is the place for you. BASIC QUALIFICATIONS: • B.S. in Electrical Engineering from an accredited university or equivalent experience in a related field. MSEE is a plus., • 7+ years of professional hands-on experience in Electrical Engineering., • Up to 20% of travel may be required between locations., • Ability to travel for work-related purposes as needed; access to reliable transportation is required due to the nature of our business and multiple client sites., • Must be legally authorized to work in the U.S. without sponsorship., • Background checks are required. PREFERRED QUALIFICATIONS: • Strong digital and analog design skills, • Strong troubleshooting and debugging skills, • Experience with designing embedded systems (microcontrollers, FPGAs, etc.), • Preferred experience with motor/motion control systems, • Experience with working with various sensor technologies (gyros, cameras, microphones), • Experience with low speed bus protocols such as I2C, SPI, CAN, UART, etc., • Experience with high speed protocols such as PCIe, USB, MIPI is preferred., • Experience with GigE, GMSL, LWIR, LRF or LIDAR is a plus, • Experience with RF designs is a plus RESPONSIBILITIES: • Author subsystem/system requirements and specifications, document design files and test criteria/plan for system and modules and support system validation., • Design complex high density, multi-layer (10+ layers) PCBAs using Altium schematic and layout tools, • Perform prototyping and bring-up of new design(s) Why join the Andrews Cooper team? This is a full-time position with compensation, benefits, and work positives, including: • Medical, dental, life, and disability insurance; health savings accounts (HSA), flexible spending accounts (FSA), employee assistance programs (EAP), and dependent savings accounts (DSA)., • Paid leave for maternity and paternity for birth or adoption., • Generous PTO for vacation, sick, community service, and 8 paid holidays., • In-office snacks, coffee, and sponsored lunches., • 401k retirement plan with 3% employer contribution., • Access to hands-on mentorship to advance professional skills and an educational reimbursement. The salary range for this position is based on national rates. Exact compensation may vary based on skills, experience, and location. Base Salary: $104,000.00 - $175,000.00. Andrews Cooper is an equal-opportunity employer. Powered by JazzHR dO67JXdYCU

Job DescriptionThe 3D Simulation group at Zoox is looking for 3D Machine Learning engineers to simulate sensors (cameras, lidar, radar), combining GenAI/ML and modern 3D graphics techniques to close the gap between simulation and reality. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. Collaborate with Sensor Sim, Perception, and V&V teams to evaluate and iteratively improve the fidelity of sensor simulation. The 3D Sensor Simulation team’s work is at the core of creating high fidelity synthetic data for training and testing AV AI, as well as real time sensor data for hardware-in-the-loop simulation.In this role, you will: • Research, implement, and optimize state of the art 3D rendering of sensor data, leveraging GenAI/ML and 3D graphics., • Develop realism metrics with V&V to show measurable impact of your improved sensor fidelity., • Collaborate with Perception and Safety teams to improve realism of sensor simulation for high fidelity synthetic data., • Improve rendering and ML inference tooling for generating realistic data at scale.Qualifications, • 5+ years of industry experience, and/or PhD, developing neural rendering techniques like Gaussian Splatting, NeRFs, or 3D reconstruction, • 5+ years of experience developing software with Python and/or modern C++, • Expertise with machine learning frameworks PyTorch or Tensorflow, • Familiarity with 3D graphics algorithms, such as 3D geometry and camera models, • Strong mathematical skills and understanding of 3D linear algebra and probabilistic techniquesBonus Qualifications, • Master's or PhD in computer science, mathematics, physics, or related field, • Experience with generative models for 3D content pipelines using applications like Houdini, Maya, or Blender., • Experience in 3D rendering for simulation, games, cloud computing, or VFX Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. 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 Senior Electrical Engineer Fresh Consulting is a design-led, software development and hardware engineering company, offering end-to-end services to help companies innovate. We bring together UX designers, developers, digital strategists, and top-notch hardware engineers to help companies create fresh experiences that connect humans, systems, and machines. We’ve been growing fast and need someone to help us continue to manage the delivery of high-quality work in a fast-paced environment. Summary of Role: • We are currently seeking an innovative Senior Electrical Engineer with a passion for technology., • Focus would be on product development for embedded devices, connected consumer products, small to medium scale industrial devices, and test automation stations., • Our offices and lab are located in Bellevue, WA. Responsibilities: • Lead and collaborate with cross-disciplinary teams including Electrical Engineers, Mechanical Engineers, and Software Developers to create products and systems while meeting project schedule milestones., • Lead and collaborate with other engineers to troubleshoot and consult on prototype designs., • Develop hardware concepts, requirements, architectures, and perform detailed design; participate in hardware-firmware integration and system level testing., • Participate in project design reviews and provide peer review feedback., • Mentor team members including Electrical Engineers and Technicians. Requirements: • Minimum 10+ years of work experience in Electrical engineering., • Strong experience in rapid prototype hardware development and design iteration., • Strong experience with custom circuit board development including schematic capture and PCB layout. (Altium strongly preferred)., • Experience in leading small, multi-disciplinary teams (4-6 people)., • Experience developing system architecture and design implementations to satisfy client and regulatory requirements., • Solid understanding of analog and digital systems. Control and sensor systems is a plus., • Familiarity with firmware for embedded systems including bare metal and RTOS based solutions., • Ability to troubleshoot, diagnose, and resolve problems in electronic circuits., • Experience working with mechanical engineers to design products and systems., • Experience managing internal and external vendors and consultants., • Ability to quickly adapt to new technologies. Soft Skills: • Leadership, • Teamwork, • Flexibility/Multitasking, • Communication, • Problem-solving, • Self-starter Desired skills: • Experience writing/modifying firmware for embedded systems., • Familiarity with software architectures and implementations used for custom designs and COTS subsystems., • Experience with I2C, SPI, Ethernet, USB, and industrial communication busses., • Experience with COTS embedded computing components such as SBC and SOM modules., • Working knowledge of IoT strategies, standards, and protocols., • Experience with BLE and Wi-Fi technologies., • Experience with design verification, gage R&R testing methodology., • Experience developing test plans and strategies, including the generation of statistical analysis and reports., • Experience with product development programs requiring regulatory approvals, e.g. FCC, UL, CE, ISO. Education: BSEE or higher. Our Team Members: • Work on engineering and research assignments with companies ranging in size from startups to Fortune 500 clients., • Help solve problems using many technologies focusing on R&D, product development, and manufacturing., • Closely work with our clients - we believe that long term investments are extremely important to maintain the culture we together have created.What We Offer We're big believers in empowering our team to do their best work by offering: • High integrity, values-driven Executive Leadership Team, • Competitive salary and comprehensive benefits plan, • HSA/HRA options for medical plans, • Employee insurance premiums paid by Fresh, • Competitive time-off plans, • Wellness program, • 401k with partial matching, • Training and development programs, • Daily catered lunch, • Partnerships with interesting and engaging clients who align with our values, • Fun and collaborative work environment with focus on growthFor Washington-based roles, the base salary hiring range for this position is $130,000 to $150,000. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Equal employment opportunity: All qualified persons will be considered for employment without regard to race, color, religion, sex, national origin, age, marital status, familial status, gender identity, sexual orientation, disability for which a reasonable accommodation can be made, or any other status protected by law. Assistance will be gladly provided upon request for any applicant with sensory or non-sensory disabilities. *Fresh Consulting is a participating E-Verify company. See Fresh in action Powered by JazzHR tswmZTmmxh

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, • Experience with database design and API developmentBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. 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 DescriptionThe 3D Simulation group at Zoox is looking for machine learning engineers to bring the latest research in 3D vision to improve diversity and blur the line between simulation and reality. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. Our ML group is working on generating rich and diverse 3D environments, humans, and environmental conditions, and you will be able to contribute to all of these.In this role, you will: • Research, implement, and optimize state of the art machine learning approaches to improve simulation variation and fidelity, • Collaborate with ML Researchers, Technical Artists and Simulation engineers to bring new ML techniques to our production simulator, • Build scalable, useable cloud pipelines for machine learning solutions in 3D simulation, • Improve rendering and tooling for generating realistic data at scaleQualifications, • 3+ years of experience with programming and algorithm design, • Fluency in Python and C++, • Experience building and extending radiance field ML models, • Publications or production experience in human-centric 3D vision, 3D reconstruction, or style transfer, • Strong mathematical skills and understanding of probabilistic techniquesBonus Qualifications, • Bachelor's, Master's or PhD in computer science, mathematics, physics, or related field, • Publications in your field (CVPR, ICCV, RSS, ICRA preferred), • Experience with generative models for 3D or video content, • Experience automating 3D content pipelines using applications like Houdini, Maya, or Blender, • Experience in distributed systems and cloud computing platforms, • Experience in generative camera, lidar, radar, or LWIRBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. 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 DescriptionABOUT US At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics and works with some of the world's retail brands including American Eagle and Gap. We're building the future of in-store experience where every product and every person can be precisely located in real time. Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world's largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences. We're a fast-growing, mission-driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond! OUR VALUES • Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters., • Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together., • High Impact: You'll make meaningful contributions from day one and help shape the future of our product and company., • Clear Communication: We value honesty, humility, and respectful dialogue—everyone's voice matters., • Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work., • Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints., • Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs.ABOUT THE JOB We're looking for a hands-on senior technical generalist who can move fluidly across the full stack of a retail deployment — from reader antenna placement and RF environment debugging, to understanding how location fixes propagate through our cloud pipeline. You'll be embedded in the work, not above it. The job is to unblock problems, make calls in the field, and keep the deployment moving forward. When RFID read rates are off, you're the person who figures out why and fixes it. You'll work closely with hardware engineers, firmware developers, backend and cloud engineers, and RADAR's own infrastructure team and you need to hold a real technical conversation with all of them. You'll be operating across this stack on a daily basis: RFID (UHF Gen2) · Indoor positioning · Reader firmware · RF propagation · MAC / physical layer · Cloud pipelines · Mobile SDKs · Store network / IT Responsibilities: • Walk a store and diagnose why RFID read rates are off — antenna angle, reader config, interference, multipath, tag placement — and make the call on the fix, • Triage location performance issues end-to-end: from physical layer through the cloud pipelines, • Translate what you're seeing in the field into precise, actionable bug reports and configuration changes for hardware, firmware, and backend engineers, • Work directly with internal partner teams, as well as the retailer's IT, facilities, and operations teams to get things done on the ground — cabling, network access, reader mounting, rollout sequencing., • Identify the real blockers, not the reported ones, and drive them to closure without waiting for perfect information, • Own the deployment plan for each store phase: what gets installed, in what order, how it gets validated, and what done looks like, • Build the institutional knowledge that makes the second and third store easier than the first — runbooks, failure modes, calibration playbooks, • Serve as the translation layer between Radar's full-stack engineering org and the retailer's technical teamsABOUT YOURequired:, • You have expertise with RFID systems — UHF Gen2, reader configuration, antenna selection and placement, tag behavior in complex RF environments, • You are familiar with physical layer and/or MAC layer fundamentals from wireless comms, base station work, or related RF systems, • You are familiar with indoor positioning — for example BLE, Wi-Fi, or sensor fusion at a working level, • You have experience in debugging and root cause analysis across hardware/firmware/software boundaries, • You have supported field deployments in real environments, not just labs, • You can work fluently across HW, FW, embedded, backend, and cloud engineering teams, • You are highly organized with exceptional attention to detail, able to maintain quality and thoroughness in environments that move fast, • You are a clear and confident communicator, comfortable translating technical details into actionable insights for both engineering teams and non-technical retail stakeholders, • You have hands-on experience coordinating project execution, handling competing priorities and ambiguity with composure and rigorPreferred:, • You have retail or supply chain environment exposure, • You are familiar with cloud telemetry pipelines and observability tooling, • You can perform RF measurements — spectrum analyzers, site surveys, signal mapping, • You have familiarity with data analysis, algorithm tuning, or signal processing concepts that translate to improving system performance in the field, • You are experienced working at a fast-paced startup or high-growth technology company where agility, ownership, and resourcefulness are essentialWHAT YOU'LL DOIn your first 30 days, you will:, • Learn Radar's mission, technology stack and core values., • Complete onboarding and security compliance training., • Visit one of RADAR's lab stores to experience the end-to-end system in operationIn your first 60 days, you will:, • Visit a pilot store installation, • Use existing analysis tools to assess the performance of the pilot store installation, • Work with project management and customer experience teams to define a test plan for the pilotIn your first 90 days, you will:, • Identify system bottlenecks or performance deficiencies and work with engineering teams to resolve them, • Create performance test reports to share with stakeholders, • Develop new analysis tools for assessing system performance At RADAR, your base pay is one part of your total compensation package. The expected base salary range for this position is $200,000 - $280,000. Individual pay is determined by work location and additional factors, including job-related skills, experience and relevant education or training.You will also be eligible to receive other benefits including: equity, comprehensive medical and dental coverage, life and disability benefits, 401k plan, flexible time off, and paid parental leave. The pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting. Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness. Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process.

Job Description Simplexity Product Development is a product design and engineering firm that partners with leading companies to bring complex hardware and software systems to life. Our teams work on challenging, real-world problems across robotics, automation, and advanced electromechanical systems. We are seeking a Senior Industrial Electrical Engineer to join our engineering team and contribute to the design, development, and deployment of large-scale robotic automation solutions in collaboration with cross-functional partners. ABOUT THE ROLE We are seeking a Senior Industrial Electrical Engineer to support the design, development, and deployment of large-scale robotic automation systems. This role focuses on delivering robust, safe, and scalable electrical designs for complex robotic workcells operating in high-throughput environments. You will work closely with cross-functional engineering teams and play a key role throughout the full product lifecycle—from concept and design through field deployment and support. You would be responsible for electrical system architecture, integration, and troubleshooting for large fulfillment workcell robots. This position is critical to ensuring system reliability, performance, and compliance in demanding operational settings. KEY RESPONSIBILITIES • Design and develop electrical systems for large fulfillment workcell robots, including power distribution, motor control, and sensor integration, • Troubleshoot complex electrical issues in deployed robotic systems to minimize downtime and optimize performance, • Create detailed electrical schematics, wiring diagrams, and technical documentation, • Collaborate with mechanical, software, and controls engineers to integrate electrical systems into complete robotic solutions, • Conduct design reviews, failure analysis, and root cause investigations for electrical system issues, • Define electrical specifications and requirements for new robotic workcell designs, • Support manufacturing, installation, and commissioning of robotic systems at fulfillment centers, • Mentor junior engineers and contribute to best practices for electrical design QUALIFICATIONS • Bachelor’s degree in Electrical Engineering or related field, • 8+ years of experience in electrical engineering, preferably in robotics or automation, • Strong knowledge of power electronics, motor drives, and control systems, • Experience with electrical design tools (e.g., AutoCAD Electrical, EPLAN), • Proficiency in reading and creating electrical schematics and wiring diagrams, • Understanding of safety standards and regulations (e.g., NFPA 79, UL, CE) PLUSES TO HAVE • Master’s degree in Electrical Engineering or related field, • Experience with large-scale industrial automation or material handling systems, • Knowledge of PLCs, industrial communication protocols (EtherCAT, Profinet, etc.), • Experience with low and high voltage systems in robotic applications, • Familiarity with EMC/EMI design considerations, • Strong problem-solving skills and ability to work in fast-paced environments, • Experience supporting field deployments and troubleshooting in operational facilities COMPENSATION AND BENEFITS There are two different pay options for this role: 1. 1099 contractors (have your own registered consulting/contracting business) • Hourly rate $100 - $150/hr, depending on experience, • No benefits, holidays, or paid time off (PTO) included2. W-2 (employee of Simplexity), • Hourly rate $75 - $90/hr, depending on experience, • Excellent Healthcare plan (Medical, Dental, and Vision) fully paid for by the company for the employee; partial payment for dependents, • 401(k) plan with company match after 1,000 hours of service, • Long-term and short-term disability, AD&D and Life Insurance, • 11 paid holidays, • 15 days of paid-time-off (PTO) accured each year No recruiters please. Job location is in Seattle, Washington at a Simplexity client site. Simplexity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Diverse candidates are encouraged to apply. * Please be advised that Simplexity Product Development will never ask you to respond to a non-SimplexityPD domain such as a gmail, ymail, hotmail, etc. If you suspect that you have been contacted by someone impersonating Simplexity Product Development who is using a fraudulent email address, please do not reply. If you are not sure, please fill out a contact form at https://www.simplexitypd.com/contact/ to report the incident. * Powered by JazzHR Fg3rkmU7aJ

Job DescriptionAbout Phaidra Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades. Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically: • We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions., • We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning., • We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them. Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact. Phaidra's ability to achieve its mission is determined by our ability to work together — as defined by our core values: Transparency, Collaboration, Operational Excellence, Ownership, and Empathy. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture Phaidra is based in the USA, but we are 100% remote with no physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India. Joining the Talent Pool Please submit your resume/CV here, along with a cover letter explaining what your ideal position is and how your skills would fit with the team! Benefits & Perks • Fast-paced, team-oriented environment where your work directly shapes the company's direction., • We are a 100% remote company., • Competitive compensation & meaningful equity., • Outsized responsibilities & professional development., • Training is foundational; functional, customer immersion, and development training., • Medical, dental, and vision insurance (exact benefits vary by region)., • Unlimited paid time off, with a required minimum of 20 days per year., • Paid parental leave (exact benefits vary by region)., • Flexible stipends to support your workspace, well-being, and continued professional development., • Company MacBook. Please note: Not all of Phaidra's benefits and perks listed above apply to temporary employees such as interns. On being Remote We take a thoughtful and intentional approach to remote collaboration. Inspired by pioneers like GitLab, we embrace proven best practices to foster an exceptional remote work environment. Our culture is documentation-first, and we prioritize asynchronous communication to support focus and flexibility across time zones. While we value independence, we stay closely connected through tools like Slack and video conferencing. Weekly all-hands meetings help us align and build strong relationships, and we regularly host virtual team-building activities and social events to maintain a sense of camaraderie. Equal Opportunity Employment Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at hiring@phaidra.ai. E-Verify Notice Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee's Form I-9 to confirm work authorization for those residing in the United States. Additional information about E-Verify can be found here. #LI-Remote To be considered for any position at Phaidra, you must submit an online application. This role will remain open until it is filled. Phaidra only hires individuals who are legally authorized to work in the specified location(s) above. We do not provide employment sponsorship. Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire. WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.

Job DescriptionKapta Space, a VC-funded early-stage startup in Seattle, WA, is breaking new ground in Geospatial Intelligence. Our technology centers around a proven, scalable electronically-steered radar for sophisticated spaceborne applications such as earth observation using synthetic aperture radar (SAR) techniques, as well as enabling advanced defense missions such as target tracking on the ground and in the air. Kapta Space is seeking a Senior Radar Algorithms Engineer to lead the development of our radar algorithm development. This role owns everything from signal digitization to data analytics and requires a strong, self-driven engineer capable of working independently in a fast-paced, multi-disciplinary environment.You Are the Right Fit for the Role at Kapta Space If: • You are open to working with a multi-disciplinary team in creating radar system and algorithm requirements, • You are able to architect, design, simulate, and implement radar algorithms: digital signal processing, SAR image formation, and target detection and tracking using both classical and machine learning techniques, • Are ready to take ownership of radar system rotational algorithms from satellite Pose estimations, • Ready to assist in Hardware-aware optimizations of algorithms targeting FPGAs, Embedded Processors, Edge Compute, and ground-based servers, • Can evaluate implementation/maintenance complexity and resource requirements (compute, memory, power), to produce trade-studies to support decision making, • Are able to generate test plans and methods to validate radar algorithms on hardware platforms so that they meet end-user needs/expectations, • You are willing to assist in recruiting, interviewing, and hiring additional teammates to our rapidly growing team here at Kapta SpaceRequirements of the Role:, • BS, MS, or PhD degree in engineering, computer science, or physics, • 10+ years of experience in sensor algorithm development (ideally radar) and statistics, • Experience in architecting DSP algorithms and data systems, • Experience with MATLAB, Octave, Python, or similar, • Comfortable with Git, CI, Code Reviews, and Version Control and organized enough to be productive in a lean startup environment, • Experience in signal/image processing, state estimation, and radar data processing techniques, • Experience with SAR image formation (including Stripmap, Spotlight, scanSAR, TOPSAR, and InSAR), • Eligible to obtain and maintain an active U.S. Top Secret/SCI security clearanceBonus if candidates have experience and skills in the following areas:, • Pulse-Doppler radar with systems based on multiple phase centers, • CFAR, Kalman Filtering, Target Indication and Tracking (both ground and air), • Deep/Machine Learning for Detection/Classification/Segmentation, • Familiarity with orbital kinematics, satellite pose estimation, and coordinate transformations, • C/C++ or Rust, • VHDL or Verilog, • An active or previously held US Government TS/SCI security clearance is considered a strong plus Concerned you do not meet all the requirements? Not a problem - please apply even if you do not meet all these criteria.U.S. Citizenship, Lawful Permanent Residency, or Refugee/Asylee Status RequiredTo conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Kapta Employees must be U.S. citizens, lawful U.S. permanent residents (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State or Commerce as applicable. Kapta Space is committed to a diverse and inclusive workplace. We believe that diversity drives innovation, strengthens our team, and broadens our capabilities. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. We welcome applicants from all backgrounds and encourage individuals from underrepresented groups to apply. Kapta Space does not engage with external recruiters or agencies without prior written agreement. If you are a recruiter (individual or agency) and wish to engage with Kapta Space for talent acquisition, please email hr@kaptaspace.com. We may use artificial intelligence (AI) tools to assist our recruitment team but do not replace human judgment. All final hiring decisions are made by humans.

Job DescriptionThe Perception team at Zoox is at the forefront of leveraging GenAI to create synthetic data, unlocking scalable training and evaluation for our autonomous system's perception and entire stack. As a Generative AI Engineer, you will develop and train cutting-edge models for sensor-level scenario generation, utilizing world models and radiance fields techniques with large-scale proprietary data. This role directly impacts the productivity, safety, and capabilities of Zoox's autonomous system by validating algorithms in real-world conditions.In this role, you will: • Design, develop, train and evaluate multi-sensor fusion based deep learning models to understand obstacles and environmental context, • Understand and curate real and synthetic datasets to improve our models, • Perform latency optimization and deploy models to our robot fleet, • Build a deep understanding of Perception gaps and behavioral issues around difficult obstacle types in order to help plan and prioritize our work, • Collaborate with Prediction/Planner team to deploy fully autonomous vehicles in environments with difficult and rare obstacles, extreme weather conditions, and complex driving scenarioQualifications, • MS or PhD in Computer Science, Machine Learning, or related technical field with 5+ years of industry experience, • Proficiency in Python and some knowledge in C++, • Deep Learning expertise, • Experience developing multi-sensor fusion algorithms for object detection, panoptic segmentation or object tracking, • Familiar with Transformer architectureBonus Qualifications, • Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA), • Experience with autonomous robotics systems, • Experience implementing 3D Gaussian SplattingBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. 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 ABOUT LVT LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions—from our physical units in the field to a powerful Agentic AI platform—that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations. This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it. We're a team that's focused on growth and innovation, and we're proud that our crew, products, and leadership are being recognized for it. • A Top-Tier Growth Company: Named one of the Financial Times' Fastest Growing Companies 2025 and #10 on the Inc. 5000 Rocky Mountain Regional list for 2025., • Innovative Leadership: Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025, and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024., • Product & Software Excellence: We were named one of The Software Report's Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025. About This Role As a Machine Learning Engineer, you will play a critical role on a team of engineers that drive new CV, LLM, VLM, and Agentic AI development for LiveView Technologies. You will be responsible for designing and implementing ML systems for security and monitoring. Department leads will need your help to understand which problems are appropriate for ML, and to select the appropriate machine learning models for our business needs. Your recommendations will help guide us in design decisions that add significant value to the company. You will have an opportunity to impact the success of the business with ML, and in other areas of software engineering. Job Responsibilities • Lead, design, implement, and improve ML and AI solutions leveraging CV, LLM's, VLM's, and Agentic AI, • Explore and research new and emerging ML technologies for the company, • Share insight into which types of problems are most appropriate for machine learning, • Provide guidance on distributed training and data collection, • Create solutions that are optimized to combine Edge IOT devices and Cloud Services, • Work in a multidisciplinary team, • Facilitate a culture of innovation, transparency, and clear communication, • Write and review technical documents, including requirements and design documents Qualifications • BS in computer science, electrical and computer engineering, or related field. MS is preferred, and PhD is a plus., • 5+ years of professional software development experience, including 2+ years creating and shipping production-level Machine Learning solutions., • 1+ years of experience specifically training and deploying solutions leveraging CV and/or Language Models (LLMs) or Vision-Language Models (VLMs)., • Expert proficiency in one or more programming languages (e.g., Python, C/C++) and familiarity with open-source technologies., • Deep understanding and practical experience with supervised, unsupervised, and reinforcement learning methods for prediction and optimization., • Experience with ML frameworks such as PyTorch, including the ability to select the optimal model for business applications., • Experience with Neural Network and Transformer optimization (e.g., quantization, compression, distillation)., • Solid experience with applied data science methods, data structures, and algorithms., • Expertise in ML training data collection, wrangling, and optimizing/tuning high-dimensionality data., • Experience with Linux/Unix environments and source control systems (Git)., • Familiarity with cloud-based development platforms (e.g., AWS, Azure)., • Ability to work independently on ambiguous problems while maintaining a highly collaborative, team-player attitude., • Excellent written and verbal communication skills for technical and cross-functional teams. Desired • Experience with Agentic AI frameworks and protocols: Langchain, CrewAI, Microsoft Agent Framework, Anthropic's MCP, Google's A2A, etc., • Experience with reinforcement learning methods for prediction and optimization., • Experience with Container ecosystems (e.g., Docker, Kubernetes)., • Experience in areas like search, ranking, computer vision, recommendation systems, or multi-modal/multi-sensor fusion., • Evidence of thought leadership (e.g., patents, published papers) and experience presenting/visualizing results to business audiences. BENEFITS We believe you do your best work when your whole life is supported. We invest in our crew's health, families, and financial futures with a benefits package designed to support you inside and outside the office. LVT IS PROUD TO BE 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. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.

Job Description Mechanical Engineer : 68732-1 Location:?Redmond, WA Duration: 12+ months Duties: • Work as part of a multi-disciplinary team to design, manufacture, and assemble prototypes of soft wearable electronic devices, • Apply sound engineering and design principles for manufacturing of injection molded components, soft electronic components, and novel sensor integrations in wearable electronics, • Communicate with vendors on DFM and Manufacturing of designs for prototype builds, • Collaborate with researchers and engineers to rapidly prototype hardware solutions, iterate, and run experiments. Skills:? Must Haves: • BS in Mechanical Engineering, or equivalent industry experience, • 4+ years of experience in designing hardware prototypes, preferably in wearable consumer electronics, or a similar field, • Knowledge of the design process from concept to manufacturing, • Average or higher experience with CAD modeling [Siemens NX preferred], • Physical prototyping experience, • Demonstrated experience with Design for injection molding, liquid silicone rubber, 3D printing, • Experience with FPC/PCB design Nice to Haves: • Knowledge of sensors, • Experience developing wearable consumer electronics, • Experience designing with softgoods or textiles, • Hands-on prototyping with molding and casting of elastomers or industrial processes such as Liquid Injection Molding, • Experience collaborating and communicating effectively on multi-disciplinary teams, • Experience working in a fast-paced, dynamic environment