New offer - be the first one to apply!
June 24, 2026
Software Engineer, Remote Vehicle Assistance
Mid • Remote
Las Vegas, NV
Mission Summary
We're looking for a Software Engineer to design and develop Remote Vehicle Assistance (RVA). The RVA project’s main goal is to overcome gaps in the AV's Operational Design Domain to allow expanded operations using a remote human operator. This involves overriding onboard AV systems (perception, planner, and control) and transmitting low-latency sensor and semantic data out of the vehicle.
What You'll Be Doing
- Develop, maintain, and support C++ software that enables Remote Vehicle Assistance
- Collaborate with C++ applications and UI engineers to pass data between software running on the autonomous vehicle and software running on remote stations
- Collaborate with C++ software components on the autonomous vehicle to integrate Remote Vehicle Assistance capabilities
- Test-driven development of new features supporting the autonomous vehicle
- Develop and maintain a comprehensive integration and simulation test suite to test all software before it goes to production
- Collaborate with systems and operations teams to develop a product that fits both customer needs and system requirements
- Collaborate with testing and operations engineers to support on-road testing
- Design, develop, and maintain RVA agent training tools, including the creation of comprehensive simulation scenarios
- Contribute to the development and support of next-generation RVA product features
What We're Looking For
- Bachelor's degree in Computer Science or a related technical field
- Minimum of 2 years of professional software engineering experience
- Proficient in C++
- Working knowledge of SQL
- Basic understanding of Git, Bazel, JIRA, Confluence or similar development tools
- Ability to learn how to use a custom SoC
- Experience working on a Linux operating system
- Capable of performing statistical performance analysis of deployed features
Bonus Points (not required)
- Experience with Modern C++ (11/14/17 or later)
- Experience working with Python, Golang
- Experience with QT, OpenGL
Why should you join us?
- Work on cutting edge technologies
- Flexi Benefits
- "Take as you need" Annual Leave
- Transport Allowance
- Medical & Insurance Coverage
- Dental
- 8-week Paternity & Maternity Leave
This role is hybrid from the Las Vegas office and requires 3 in-office days each week.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. Candidates for certain positions are eligible to participate in the benefits program including medical, dental, vision, 401k with company match, health saving accounts, life insurance, pet insurance, and more.
Salary Range: $123,000—$163,500 USD
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Hybrid
Las Vegas, NV
🏢 Summary: Software engineering role focused on designing and developing high‑performance embedded infrastructure for onboard autonomous driving systems across diverse hardware platforms. The position involves building and testing embedded software for vision, radar, and safety applications, leading technical initiatives, and collaborating cross‑functionally. Opportunities are available from graduate to staff level, with hybrid or remote work options. 🗂️ Requirements: Experience creating detailed requirements from use cases, Ability to lead technical initiatives and guide engineers, Experience developing embedded software in C, Experience developing embedded software in C++, Experience with Test-Driven Development (TDD), Experience with embedded Linux or RTOS, Experience with networking (Ethernet, CAN) and protocols, Experience debugging on embedded platforms, Experience programming in Python, Experience with shell scripting for automation, Experience working with ARM Cortex MCUs or microprocessors 📃 Skills: C, C++, Python, Shell, Linux, RTOS, Ethernet, CAN, ARM, TDD, Debugging, Networking 🏢 Description: Mission Summary: Motional's onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve next-generation onboard autonomous driving systems. The High Performance Compute Platform team is responsible for current and next-generation onboard autonomous driving systems. Hiring spans graduate to Staff engineer levels. What You'll Be Doing: - Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, and safety monitoring to run on self-driving vehicles. - Design test harnesses for embedded software components and full systems. - Provide technical mentorship to engineers. - Work with cross-functional engineering teams to solve complex technical problems. What We're Looking For: - Experience creating detailed requirements from use cases. - Ability to lead technical initiatives, break down work, and guide engineers through execution. - Experience writing software for embedded platforms in C and C++. - Experience with Test-Driven Development (TDD). - Experience working on embedded Linux or RTOS. - Experience with networking (Ethernet, CAN) and common networking protocols. - Experience debugging on embedded platforms. - Experience writing software in Python and automating with shell scripting. - Experience working with ARM Cortex MCUs or microprocessors. Bonus Points (not required): - Experience with large data pipelines and deterministic execution platforms. - Experience with inter-system communication protocols such as I2C and SPI. - Experience deploying Machine Learning models. - Experience working with GPUs. - Experience working with the Linux kernel or device drivers. - Experience with simulation and code generation. - Experience working with Bazel. - Experience integrating sensors including cameras, IMUs, radars, and LIDARs. - Experience with PyTorch, TensorFlow, ONNX, or other ML frameworks. Work Arrangement: Hybrid schedule with in-office time in Boston, Pittsburgh, or Las Vegas, or fully remote. Compensation & Benefits: Salary Range: $149,000—$198,500 USD (base salary). Additional compensation may include bonus or company equity. Benefits may include medical, dental, vision, 401k with company match, health savings accounts, life insurance, pet insurance, and more.
Technology
New offer

Motional
Principal Engineer Motion Planning
Senior
On-site
Pittsburgh, PA
🏢 Summary: Lead the research, architecture, and deployment of advanced motion planning and control systems for production autonomous vehicles operating in complex environments. The role focuses on developing state-of-the-art probabilistic and search-based algorithms, building high-performance C++ systems, and driving cross-functional integration across the full autonomy stack. Ideal for a senior robotics expert passionate about scaling safe and comfortable autonomous driving solutions. 🗂️ Requirements: PhD in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or related field; or Master’s degree with 7+ years robotics experience, 10+ years research experience in robotics or motion planning, 5+ years C++ development experience in high-performance, reliable systems, Proven experience leading complex technical features from research to production deployment, Experience developing motion planning algorithms for autonomous systems 📃 Skills: C++, Robotics, MotionPlanning, Algorithms, ProbabilisticModels, GaussianMixtureModels, HiddenMarkovModels, ParticleFilters, MachineLearning, BayesianInference, Bazel, TrajectoryOptimization, ControlSystems 🏢 Description: Description Motional is seeking a technical expert for its Planning team to define motion planning and control systems for secure, effective, and comfortable fleet operation in complex environments. This role requires expertise in cutting-edge research, advanced algorithm development, and robust software building to generate safe, comfortable, and intuitive routes and motions. The position focuses on contributing to production-ready autonomous vehicles. Role Responsibilities - Lead the research and development of novel algorithms and sub-systems for motion planning in autonomous driving, expanding the Operational Design Domain, including advanced search-based and geometry-based methods and probabilistic decision-making under uncertainty. - Lead cross-functional projects to define new or upgrade existing interfaces. - Monitor overall system performance, identify areas for improvement, and develop technical strategies to address deficiencies. - Guide cross-functional teams to deliver comprehensive solutions beyond the planning system scope. - Architect and integrate motion planning and prediction algorithms, driving evaluation and refinement for real-world deployment. - Design and build a robust, scalable, high-performance codebase for rapid prototyping and rigorous evaluation. - Collaborate with perception, prediction, trajectory optimization, tracking, and control teams to ensure end-to-end system performance. - Mentor and guide team members, promoting product-focused engineering and rigorous research. What We’re Looking For - PhD preferred in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or related field; or Master’s degree with 7+ years of robotics experience. - 10+ years of research experience in robotics or motion planning with demonstrated impact. - 5+ years of C++ software development experience building high-performance and reliable systems. - Experience leading technical development from problem formulation through research, implementation, and production deployment. - Strong drive for innovation and technical leadership in autonomous driving. Skills Appreciated - Experience with probabilistic models such as Gaussian mixture models, Hidden Markov Models, and Particle Filters. - Experience with machine learning techniques, including Bayesian modeling and inference for decision-making under uncertainty. - Experience with the Bazel build framework. Compensation and Benefits - Salary Range: $240,000—$330,000 USD (base salary). - Eligible for additional compensation such as bonus or company equity. - Benefits may include medical, dental, vision, 401k with company match, health savings accounts, life insurance, pet insurance, and more.
Technology
New offer

Motional
Principal Engineer Motion Planning
Senior
Remote
🏢 Summary: Senior technical role leading research, architecture, and development of advanced motion planning and control systems for production autonomous vehicles. The position focuses on designing probabilistic, search-based, and geometry-based algorithms, integrating them into high-performance C++ systems, and driving end-to-end deployment in complex real-world environments. It involves cross-functional leadership, system optimization, and mentorship within a robotics-focused engineering team. 🗂️ Requirements: PhD in Robotics, Computer Science, Computer Engineering, Mechanical Engineering or related field OR Master’s degree with 7+ years robotics experience, 10+ years research experience in robotics or motion planning, 5+ years professional C++ development experience, Proven experience leading complex technical features from research to production deployment, Experience developing high-performance, reliable software systems, Strong background in motion planning and decision-making under uncertainty, Ability to lead cross-functional technical projects 📃 Skills: C++, Robotics, MotionPlanning, Algorithms, ProbabilisticModels, GaussianMixtureModels, HiddenMarkovModels, ParticleFilters, MachineLearning, BayesianInference, Bazel, TrajectoryOptimization, ControlSystems 🏢 Description: Role Responsibilities: Lead the research and development of novel algorithms and sub-systems for motion planning in autonomous driving, expanding the Operational Design Domain. This includes advanced search-based and geometry-based methods, as well as decision-making under uncertainty with a strong emphasis on probabilistic approaches. Lead cross-functional projects to define new or upgrade existing interfaces to solve problems. Monitor overall system performance to identify areas for improvement and develop technical strategies to address deficiencies. Guide cross-functional project teams to provide comprehensive solutions and think beyond the confines of the planning system. Architect and integrate complex combinations of motion planning and prediction algorithms, driving their evaluation and refinement for real-world deployment. Design and build a robust, scalable, and high-performance codebase that facilitates rapid exploration, prototyping, and rigorous evaluation of innovative motion planning approaches and algorithms. Drive technical collaboration and interface with perception and prediction components upstream and trajectory optimization, tracking, and control components downstream to ensure end-to-end system performance. Leverage deep software development and research expertise to teach better software practices and principles. Guide and mentor junior and senior team members, cultivating a culture of product-focused engineering, rigorous research, and advanced development. What We're Looking For: PhD preferred in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or a related field; or a Master’s degree with 7+ years of experience in robotics (preferably autonomous vehicles industry). 10+ years of research experience in robotics or motion planning, with a proven track record of contributing to state-of-the-art solutions and leading significant projects. 5+ years of C++ software development experience, focused on high-performance and reliable systems. Experience owning and leading technical development of complex features from problem formulation through research, implementation, and deployment in production environments. Strong drive for innovation and advancement in autonomous driving technology. Skills Appreciated: Experience with probabilistic models, including Gaussian mixture models, Hidden Markov Models, and Particle Filters. Experience with machine learning techniques such as Bayesian modeling and inference for decision-making under uncertainty. Experience with the Bazel build framework. Compensation and Benefits: Salary Range: $240,000—$330,000 USD (base salary). This role may include additional compensation such as bonus or company equity. Eligible positions include benefits such as medical, dental, vision, 401k with company match, health savings accounts, life insurance, pet insurance, and more.