Leads engineering team building scalable behavior systems for autonomous vehicles across cars, trucks, mining, construction, and offroad. Owns strategy, architecture, and delivery of safety-critical algorithms; requires 5+ years in robotics/autonomy and team management experience.
Develops scalable OTA update platforms for deploying firmware and software to large connected device fleets using C++ and Go. Requires 4+ years in distributed systems, cloud-native apps, and secure deployment practices.
Senior engineer owning and maintaining HD maps infrastructure for products handling localized information, global map querying, and visualization. Requires 2+ years in C++ or Python with experience in mapping and localization challenges.
Develops and integrates full-system software features in C/C++ for VehicleOS, spanning embedded applications, cloud, and UI for customer vehicle projects. Collaborates with hardware teams, manages customer projects, and ensures end-to-end testing and reliability. Requires 3+ years experience and strong C/C++ skills.
Leads embedded security architecture for vehicle platforms, implementing secure boot, HSM integration, and cryptographic protections. Requires 5+ years experience, expertise in embedded security, and programming in C/C++/Python.
Solutions Architect manages complex engineering projects for automotive customers, focusing on vehicle platforms, ADAS, and software-defined vehicles. Defines milestones, coordinates teams, ensures technical alignment, and drives problem-solving with 3+ years in vehicle software development required.
Builds scalable data platform for physical AI insights, handling ingestion, querying, visualization, agentic analytics, and governance for autonomy engineers. Requires 3+ years in data infrastructure, distributed systems, and backend fundamentals.
Leads security GRC program, conducts enterprise risk assessments, manages compliance audits like SOC2/ISO 27001/TISAX, drives TPRM, and builds GRC infrastructure. Requires 6+ years in security compliance with hands-on audit and tooling experience.
Performs offensive security testing, penetration assessments, and risk analysis on vehicle software platforms and embedded systems. Collaborates with engineering teams to design secure architectures and implement mitigations for automotive products.
Builds large-scale data processing pipelines and ML infrastructure to automate data curation, model training, and iteration for autonomous vehicles using real-world and simulation data. Requires 3-5 years experience in data/ML infra, Python, and frameworks like Spark/Airflow/Kafka.
Builds and improves core libraries, frameworks, and developer tools like Bazel and Buildkite CI/CD to boost engineering productivity. Requires 2+ years experience, Bachelor's in CS, and expertise in Go/C++/Python/TypeScript.
Develops ML-first behavior prediction modules to forecast road user motions and interactions for autonomous systems. Requires 3+ years experience with deep learning end-to-end cycles, C++/Python fluency, and collaboration with perception/planning teams.
Leads design and implementation of cybersecurity architectures for automotive systems, ensuring compliance with ISO/SAE 21434 and UN R155/156 standards. Requires 7+ years in embedded automotive security, systems programming in C/C++/Rust, and threat analysis expertise.
Hardware Integration Engineer integrates, tests, and maintains autonomous vehicle hardware systems, troubleshoots sensors and components, and leads vehicle build-out. Requires BS in engineering and 1+ years in automotive/robotics with AV sensor experience.
Provides first-line technical support, handles user onboarding/offboarding, and designs scalable IT infrastructure. Requires 3+ years in IT operations, multi-OS support, networking knowledge, and CompTIA Security+.
Designs, builds, and operates large-scale ML infrastructure for AI/RL research, including GPU cluster orchestration, data curation pipelines, and distributed training systems for autonomous driving and robotics.
Develops cutting-edge robot learning technologies including RL training in simulations, hardware setup, data processing, and end-to-end autonomy algorithms for real-world robotic systems. Requires hands-on experience in multi-modal robot learning, reinforcement learning, or related fields, plus Python, PyTorch, computer vision, and robotics expertise.
Develops validation toolset software for autonomous vehicle systems, building features for data ingestion, KPI analysis, coverage measurement, and ML-based failure detection across cloud, hybrid, and on-prem. Requires 3-6 years experience with Python, Go, React, containerization, and data modeling.
Senior engineer owning and maintaining HD maps infrastructure for products in autonomous vehicles and simulation, including storage formats, data pipelines, UIs, and SDKs. Requires 2+ years experience with C++/Python and mapping/localization challenges.
Leads engineering team building data quality systems, intelligent labeling workflows, and data mining infrastructure using foundation models to accelerate autonomy development. Requires 3+ years engineering management and experience with data-centric AI.
Owns end-to-end product strategy and execution for Vehicle OS platform in autonomous vehicles. Drives market analysis, engineering collaboration, customer engagement, and go-to-market for software-hardware products. Requires 5+ years PM experience and strong technical background.
Defines and manages perception subsystem requirements for autonomous trucking, evaluates safety and performance, coordinates with SW/HW teams, and develops V&V pipelines. Requires 3+ years automotive systems engineering experience with perception and sensor expertise.
Leads mapping team operations for autonomous vehicle HD maps, managing production schedules, triaging issues, and coordinating with engineering and field teams. Requires 3+ years in HD mapping or geospatial data with technical tooling experience.
Manages employee lifecycle programs from onboarding to offboarding, optimizes processes and documentation for scaling, owns HR policy compliance, and analyzes people data to drive improvements. Requires 5+ years in people ops or HR with strong program management.
Secures multi-cloud infrastructure (AWS, Azure, GCP, OCI) with emphasis on Kubernetes hardening, IAM enforcement, CSPM using Wiz, and IaC security. Requires 5+ years experience, deep AWS and Kubernetes security expertise.
Leads a team of solutions engineers in pre-sales for strategic automotive customers, owning technical discussions, customer onsites, and deal closure. Requires 8-13 years experience, CS/engineering degree, and proven technical sales track record.
Leads technical direction for mining autonomy platform, owning low-level vehicle controls, software platform for health monitoring/telemetry/deployment, and 0→1 vehicle bring-up. Requires 7+ years in embedded systems/robotics, C/C++ proficiency, and tech leadership experience.
Designs and implements deterministic, safety-critical motion planners for autonomous vehicle fallback systems, ensuring safe behavior under uncertainty. Requires 5+ years in AV/robotics motion planning, C++ proficiency, and data-driven evaluation skills.
Leads development of motion planning algorithms for autonomous vehicles, mentors engineers, architects planning modules integrating perception and maps, ensures deployment readiness, and collaborates with customers. Requires 5+ years in AV planning, C++ fluency, and BS in CS/Robotics.
Designs and develops POSIX-based middleware and embedded software systems for vehicle OS, ensuring integration across OS, middleware, and hardware layers to enable scalable automotive intelligence. Requires 10+ years in embedded development with POSIX systems like QNX and Linux.
Develops embedded firmware for vehicle OS platform, integrating vendor components, implementing RTOS applications, architecting safety-critical C code, and supporting hardware bring-up on ARM systems. Requires 5+ years embedded experience with C/C++ and debugging tools.
Research Engineer focusing on 3D vision, Gaussian splatting, foundation models, and generative techniques for self-driving applications. Conducts cutting-edge research, publishes at top conferences, and deploys algorithms to production autonomy systems. Requires hands-on experience in 3D/ML for AV/robotics, Python/PyTorch proficiency.
Conducts cutting-edge research in reinforcement learning, self-play RL, VLA post-training, and closed-loop RL for autonomous driving and robotics. Requires strong research record with publications, MSc/PhD in ML/CV, and expertise in Python, PyTorch, computer vision, and robotics.
Builds and scales data infrastructure across the full lifecycle (collection, ingestion, storage, querying) using open-source technologies like Spark and Kafka. Supports cloud, hybrid, and on-prem deployments while collaborating across business units. Requires 3+ years experience and Bachelor's degree.
Conducts research on reinforcement learning for self-driving cars and robotics, develops large-scale RL training infrastructure, and deploys algorithms to production systems. Requires hands-on RL experience, PyTorch/Python proficiency, and strong research skills.
Develops highly reliable embedded software for next-generation vehicle platforms, integrating vendor components, implementing RTOS applications, and customizing Android middleware and HAL for production computers in automotive systems. Requires 3+ years embedded experience with C/C++ and low-level hardware interfaces.
Develops and owns vehicle-level safety cases for driving functions, translates analysis into safety requirements, and applies ISO 26262 across vehicle features like braking and ADAS. Requires 2+ years in functional safety, hands-on safety case experience, and bachelor's in engineering.
Builds large-scale data platforms for AI and autonomy, processing petabytes of sensor data using distributed systems like Kafka and Spark. Requires 2+ years backend experience and bachelor's in CS.
Conducts research on world-action foundation models for robotics and autonomous driving, focusing on 3D vision, multi-modal pretraining, and Gaussian splatting. Requires MSc/PhD in ML/CV, strong publication record, and expertise in Python/PyTorch.
Owns end-to-end planning and execution of internal/external events including executive, investor, customer, and sales events. Partners with marketing, leadership, and vendors; requires 7-10 years events experience, Salesforce/Marketo, and cross-functional coordination.
Defines and manages safety architecture, requirements, and analysis (FMEA, FTA, STPA) for L4 autonomous trucking software/hardware. Requires 3+ years system safety experience, automotive standards expertise (ISO 26262), and engineering background in ADAS/autonomy.
Develops and deploys generative ML techniques for production-grade sensor simulation (Lidar, Radar, Cameras) in autonomous systems. Collaborates with research, rendering, and physics teams; requires 5+ years ML experience, Bachelor's in CS, and expertise in large models and 3D geometry.
Builds and maintains large-scale cloud infrastructure for simulation workloads across AWS, GCP, and Azure. Requires 3+ years experience with Kubernetes, Docker, Golang/Python/C++, and container orchestration for high-reliability deployments.
Embeds security into product design and development lifecycle by analyzing architectures, conducting threat modeling and assessments, maturing vulnerability management, and guiding developers on secure practices. Requires 5+ years in product/application security with expertise in cloud, containers, and automation tools.
Develops robotic hardware, large-scale simulations for RL training, and processes human data for autonomy and robotics applications. Collaborates on research publications and deploys algorithms to production systems. Requires hands-on robotics experience and expertise in Python, PyTorch, computer vision.
Develops and deploys embedded ML systems and on-device multimodal LLMs for Android Automotive platforms, optimizing for edge constraints like latency and safety. Requires 3+ years shipping ML on embedded/mobile platforms, C++ proficiency, and Android expertise.
Senior Frontend (Full-Stack) Engineer building configurable UI/UX platforms with 2D/3D rendering for defense mission planning, monitoring, and simulation tools. Requires full-stack web dev experience, strong UI vision, US citizenship, and interest in spatial/geographic problems.
Leads field deployments and integrations of AI-driven autonomy systems on heavy equipment and industrial vehicles at customer sites. Requires 3+ years experience with off-road vehicle tech, hands-on hardware/software troubleshooting, and on-site customer collaboration in construction/mining environments.
Develops core middleware components and services for software-defined vehicle platform using C++, focusing on communication protocols, AUTOSAR Adaptive clusters, networking, and system management. Requires 5+ years experience, strong C++ skills, and BS in CS or related field.
Senior leader driving adoption of AI technology in government defense programs by leading engagements with program offices, shaping pilots, pitching solutions, and converting them to funded programs. Requires 15-20+ years defense experience and Top Secret clearance.
Leads engineering team building scalable behavior systems for autonomous vehicles across cars, trucks, mining, construction, and offroad. Owns strategy, architecture, and delivery of safety-critical algorithms; requires 5+ years in robotics/autonomy and team management experience.
Develops scalable OTA update platforms for deploying firmware and software to large connected device fleets using C++ and Go. Requires 4+ years in distributed systems, cloud-native apps, and secure deployment practices.
Senior engineer owning and maintaining HD maps infrastructure for products handling localized information, global map querying, and visualization. Requires 2+ years in C++ or Python with experience in mapping and localization challenges.
Develops and integrates full-system software features in C/C++ for VehicleOS, spanning embedded applications, cloud, and UI for customer vehicle projects. Collaborates with hardware teams, manages customer projects, and ensures end-to-end testing and reliability. Requires 3+ years experience and strong C/C++ skills.
Leads embedded security architecture for vehicle platforms, implementing secure boot, HSM integration, and cryptographic protections. Requires 5+ years experience, expertise in embedded security, and programming in C/C++/Python.
Solutions Architect manages complex engineering projects for automotive customers, focusing on vehicle platforms, ADAS, and software-defined vehicles. Defines milestones, coordinates teams, ensures technical alignment, and drives problem-solving with 3+ years in vehicle software development required.
Builds scalable data platform for physical AI insights, handling ingestion, querying, visualization, agentic analytics, and governance for autonomy engineers. Requires 3+ years in data infrastructure, distributed systems, and backend fundamentals.
Leads security GRC program, conducts enterprise risk assessments, manages compliance audits like SOC2/ISO 27001/TISAX, drives TPRM, and builds GRC infrastructure. Requires 6+ years in security compliance with hands-on audit and tooling experience.
Performs offensive security testing, penetration assessments, and risk analysis on vehicle software platforms and embedded systems. Collaborates with engineering teams to design secure architectures and implement mitigations for automotive products.
Builds large-scale data processing pipelines and ML infrastructure to automate data curation, model training, and iteration for autonomous vehicles using real-world and simulation data. Requires 3-5 years experience in data/ML infra, Python, and frameworks like Spark/Airflow/Kafka.
Builds and improves core libraries, frameworks, and developer tools like Bazel and Buildkite CI/CD to boost engineering productivity. Requires 2+ years experience, Bachelor's in CS, and expertise in Go/C++/Python/TypeScript.
Develops ML-first behavior prediction modules to forecast road user motions and interactions for autonomous systems. Requires 3+ years experience with deep learning end-to-end cycles, C++/Python fluency, and collaboration with perception/planning teams.
Leads design and implementation of cybersecurity architectures for automotive systems, ensuring compliance with ISO/SAE 21434 and UN R155/156 standards. Requires 7+ years in embedded automotive security, systems programming in C/C++/Rust, and threat analysis expertise.
Hardware Integration Engineer integrates, tests, and maintains autonomous vehicle hardware systems, troubleshoots sensors and components, and leads vehicle build-out. Requires BS in engineering and 1+ years in automotive/robotics with AV sensor experience.
Provides first-line technical support, handles user onboarding/offboarding, and designs scalable IT infrastructure. Requires 3+ years in IT operations, multi-OS support, networking knowledge, and CompTIA Security+.
Designs, builds, and operates large-scale ML infrastructure for AI/RL research, including GPU cluster orchestration, data curation pipelines, and distributed training systems for autonomous driving and robotics.
Develops cutting-edge robot learning technologies including RL training in simulations, hardware setup, data processing, and end-to-end autonomy algorithms for real-world robotic systems. Requires hands-on experience in multi-modal robot learning, reinforcement learning, or related fields, plus Python, PyTorch, computer vision, and robotics expertise.
Develops validation toolset software for autonomous vehicle systems, building features for data ingestion, KPI analysis, coverage measurement, and ML-based failure detection across cloud, hybrid, and on-prem. Requires 3-6 years experience with Python, Go, React, containerization, and data modeling.
Senior engineer owning and maintaining HD maps infrastructure for products in autonomous vehicles and simulation, including storage formats, data pipelines, UIs, and SDKs. Requires 2+ years experience with C++/Python and mapping/localization challenges.
Leads engineering team building data quality systems, intelligent labeling workflows, and data mining infrastructure using foundation models to accelerate autonomy development. Requires 3+ years engineering management and experience with data-centric AI.
Owns end-to-end product strategy and execution for Vehicle OS platform in autonomous vehicles. Drives market analysis, engineering collaboration, customer engagement, and go-to-market for software-hardware products. Requires 5+ years PM experience and strong technical background.
Defines and manages perception subsystem requirements for autonomous trucking, evaluates safety and performance, coordinates with SW/HW teams, and develops V&V pipelines. Requires 3+ years automotive systems engineering experience with perception and sensor expertise.
Leads mapping team operations for autonomous vehicle HD maps, managing production schedules, triaging issues, and coordinating with engineering and field teams. Requires 3+ years in HD mapping or geospatial data with technical tooling experience.
Manages employee lifecycle programs from onboarding to offboarding, optimizes processes and documentation for scaling, owns HR policy compliance, and analyzes people data to drive improvements. Requires 5+ years in people ops or HR with strong program management.
Secures multi-cloud infrastructure (AWS, Azure, GCP, OCI) with emphasis on Kubernetes hardening, IAM enforcement, CSPM using Wiz, and IaC security. Requires 5+ years experience, deep AWS and Kubernetes security expertise.
Leads a team of solutions engineers in pre-sales for strategic automotive customers, owning technical discussions, customer onsites, and deal closure. Requires 8-13 years experience, CS/engineering degree, and proven technical sales track record.
Leads technical direction for mining autonomy platform, owning low-level vehicle controls, software platform for health monitoring/telemetry/deployment, and 0→1 vehicle bring-up. Requires 7+ years in embedded systems/robotics, C/C++ proficiency, and tech leadership experience.
Designs and implements deterministic, safety-critical motion planners for autonomous vehicle fallback systems, ensuring safe behavior under uncertainty. Requires 5+ years in AV/robotics motion planning, C++ proficiency, and data-driven evaluation skills.
Leads development of motion planning algorithms for autonomous vehicles, mentors engineers, architects planning modules integrating perception and maps, ensures deployment readiness, and collaborates with customers. Requires 5+ years in AV planning, C++ fluency, and BS in CS/Robotics.
Designs and develops POSIX-based middleware and embedded software systems for vehicle OS, ensuring integration across OS, middleware, and hardware layers to enable scalable automotive intelligence. Requires 10+ years in embedded development with POSIX systems like QNX and Linux.
Develops embedded firmware for vehicle OS platform, integrating vendor components, implementing RTOS applications, architecting safety-critical C code, and supporting hardware bring-up on ARM systems. Requires 5+ years embedded experience with C/C++ and debugging tools.
Research Engineer focusing on 3D vision, Gaussian splatting, foundation models, and generative techniques for self-driving applications. Conducts cutting-edge research, publishes at top conferences, and deploys algorithms to production autonomy systems. Requires hands-on experience in 3D/ML for AV/robotics, Python/PyTorch proficiency.
Conducts cutting-edge research in reinforcement learning, self-play RL, VLA post-training, and closed-loop RL for autonomous driving and robotics. Requires strong research record with publications, MSc/PhD in ML/CV, and expertise in Python, PyTorch, computer vision, and robotics.
Builds and scales data infrastructure across the full lifecycle (collection, ingestion, storage, querying) using open-source technologies like Spark and Kafka. Supports cloud, hybrid, and on-prem deployments while collaborating across business units. Requires 3+ years experience and Bachelor's degree.
Conducts research on reinforcement learning for self-driving cars and robotics, develops large-scale RL training infrastructure, and deploys algorithms to production systems. Requires hands-on RL experience, PyTorch/Python proficiency, and strong research skills.
Develops highly reliable embedded software for next-generation vehicle platforms, integrating vendor components, implementing RTOS applications, and customizing Android middleware and HAL for production computers in automotive systems. Requires 3+ years embedded experience with C/C++ and low-level hardware interfaces.
Develops and owns vehicle-level safety cases for driving functions, translates analysis into safety requirements, and applies ISO 26262 across vehicle features like braking and ADAS. Requires 2+ years in functional safety, hands-on safety case experience, and bachelor's in engineering.
Builds large-scale data platforms for AI and autonomy, processing petabytes of sensor data using distributed systems like Kafka and Spark. Requires 2+ years backend experience and bachelor's in CS.
Conducts research on world-action foundation models for robotics and autonomous driving, focusing on 3D vision, multi-modal pretraining, and Gaussian splatting. Requires MSc/PhD in ML/CV, strong publication record, and expertise in Python/PyTorch.
Owns end-to-end planning and execution of internal/external events including executive, investor, customer, and sales events. Partners with marketing, leadership, and vendors; requires 7-10 years events experience, Salesforce/Marketo, and cross-functional coordination.
Defines and manages safety architecture, requirements, and analysis (FMEA, FTA, STPA) for L4 autonomous trucking software/hardware. Requires 3+ years system safety experience, automotive standards expertise (ISO 26262), and engineering background in ADAS/autonomy.
Develops and deploys generative ML techniques for production-grade sensor simulation (Lidar, Radar, Cameras) in autonomous systems. Collaborates with research, rendering, and physics teams; requires 5+ years ML experience, Bachelor's in CS, and expertise in large models and 3D geometry.
Builds and maintains large-scale cloud infrastructure for simulation workloads across AWS, GCP, and Azure. Requires 3+ years experience with Kubernetes, Docker, Golang/Python/C++, and container orchestration for high-reliability deployments.
Embeds security into product design and development lifecycle by analyzing architectures, conducting threat modeling and assessments, maturing vulnerability management, and guiding developers on secure practices. Requires 5+ years in product/application security with expertise in cloud, containers, and automation tools.
Develops robotic hardware, large-scale simulations for RL training, and processes human data for autonomy and robotics applications. Collaborates on research publications and deploys algorithms to production systems. Requires hands-on robotics experience and expertise in Python, PyTorch, computer vision.
Develops and deploys embedded ML systems and on-device multimodal LLMs for Android Automotive platforms, optimizing for edge constraints like latency and safety. Requires 3+ years shipping ML on embedded/mobile platforms, C++ proficiency, and Android expertise.
Senior Frontend (Full-Stack) Engineer building configurable UI/UX platforms with 2D/3D rendering for defense mission planning, monitoring, and simulation tools. Requires full-stack web dev experience, strong UI vision, US citizenship, and interest in spatial/geographic problems.
Leads field deployments and integrations of AI-driven autonomy systems on heavy equipment and industrial vehicles at customer sites. Requires 3+ years experience with off-road vehicle tech, hands-on hardware/software troubleshooting, and on-site customer collaboration in construction/mining environments.
Develops core middleware components and services for software-defined vehicle platform using C++, focusing on communication protocols, AUTOSAR Adaptive clusters, networking, and system management. Requires 5+ years experience, strong C++ skills, and BS in CS or related field.
Senior leader driving adoption of AI technology in government defense programs by leading engagements with program offices, shaping pilots, pitching solutions, and converting them to funded programs. Requires 15-20+ years defense experience and Top Secret clearance.