June 27, 2026

Optical Engineer

Senior • On-site

116,736 - 152,256 USD/yr

Broomfield, CO

The Role

The Optical Designer and Analyst will be responsible for designing, analyzing, and optimizing optical systems for space-based communication technologies. This role requires hands-on experience with optical design software, a strong background in optics, and the ability to collaborate across disciplines to deliver optical designs that are both innovative and capable of cost-effective mass production.

Location: Onsite in Broomfield, Colorado office
Travel: Up to 5%

Responsibilities

  • Lead the full lifecycle of optical systems, including conceptualization, simulation, detailed design, and prototyping, with focus on free-space optical communication systems and high-speed laser applications.
  • Conduct in-depth analysis using optical design software to optimize system performance, including manufacturing and alignment tolerances, wavefront error, radiometric analysis, free-space far-field propagation, and fiber coupling efficiency.
  • Collaborate with mechanical, electrical, software, and control engineering teams to integrate optical subsystems into spacecraft or ground-based platforms.
  • Develop and implement optomechanical design and analysis strategies, including Structural-Thermal-Optical Performance analysis for space environments.
  • Write and maintain technical documentation for designs, analyses, and test procedures; mentor and transfer knowledge to team members.

Qualifications

  • Bachelor’s degree or higher in Optics, Mechanical Engineering, Electrical Engineering, Telecommunications Engineering, Physics, or related technical field.
  • Proven experience in optical system design, particularly for space-based or high-precision optical instruments.
  • Extensive experience with optical design software (e.g., ZEMAX) and mechanical design tools (e.g., SolidWorks, Siemens NX).
  • Must meet U.S. Government export control regulations (ITAR) requirements.

Preferred Qualifications

  • Experience with optical design for space-flight systems or astronomy.
  • Experience working in a cleanroom environment (ISO 5 to ISO 8).
  • Spanish speaking is a plus.

Compensation and Benefits

  • Base salary range: $116,736 - $152,250, plus bonus and equity.
  • Comprehensive medical, dental, and vision plans.
  • 401(k) with company match.
  • Unlimited PTO and paid holidays.
  • Parental/adoption leave.
  • Legal insurance.
  • Home technology stipend.

Employment is contingent upon compliance with U.S. export control and government contract restrictions.

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Hybrid

Pittsburgh, PA

🏢 Summary: Senior technical leadership role focused on motion planning, trajectory optimization, and scalable software architecture for autonomous vehicles. The position involves designing production-grade algorithms, leading cross-functional system architecture, and advancing real-time safety-critical robotics systems. Candidates will work on autonomous driving technologies using optimization, simulation, and embedded software development. 🗂️ Requirements: 5+ years of production-grade C++ development, Experience with real-time or safety-critical systems, Degree in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or related field, Expertise in motion planning and Model Predictive Control, Experience with planning under uncertainty and vehicle dynamics, Strong understanding of nonlinear and numerical optimization, Experience with optimization solvers in embedded environments, Ability to lead large-scale technical initiatives, Experience with closed-loop simulation environments 📃 Skills: C++, Python, MPC, IPOPT, Gurobi, OSQP, CasADi, Robotics, Optimization, Simulation, Embedded, CI 🏢 Description: Mission Summary: On our Motion team, you will serve as a technical leader, leveraging your deep expertise in motion planning, robotics, and software development to architect and advance the capabilities of production-ready autonomous vehicles. In this role, you will drive innovative research, own systemic design processes, and spearhead the implementation of performance-critical algorithms that enable safe, comfortable, and intuitive autonomous vehicle behaviors across autonomous vehicle fleets. If you are passionate about autonomous driving, thrive on solving challenging motion planning problems, and are eager to make a significant impact in a rapidly evolving field, this role offers the opportunity to contribute to cutting-edge autonomous driving technology. Technical Scope: - Architect state-of-the-art motion planning and trajectory optimization solutions to ensure safe, smooth, and comfortable vehicle motion. - Design robust and scalable software architectures by evaluating, benchmarking, and integrating optimal control techniques and motion planning algorithms. - Establish code quality benchmarks and lead architectural code and design reviews using C++. - Define and champion modern development toolchains, testing frameworks, high-fidelity simulation, and continuous integration systems. Role Responsibilities: - Define and communicate complex system trade-offs and technical concepts to engineering teams and leadership. - Collaborate with teams focused on decision planning, prediction, and vehicle control to build integrated safety-critical systems. - Author technical proposals and contribute to long-term subsystem roadmaps. - Mentor engineering team members and promote rigorous research and engineering practices. What We're Looking For: - 5+ years of production-grade C++ software development experience in real-time, low-latency, or safety-critical applications. - Bachelor's, Master's, or PhD in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or related field preferred. - Proven experience leading large-scale technical initiatives from problem definition through production deployment. - Deep expertise in Model Predictive Control (MPC), motion planning architectures, planning under uncertainty, vehicle dynamics, and closed-loop simulation. - Strong mathematical understanding of nonlinear and numerical optimization techniques, including interior point methods, sequential quadratic programming, and convex/non-convex optimization. - Experience deploying and scaling optimization solvers such as IPOPT, Gurobi, OSQP, and CasADi in real-time embedded systems. - Python experience for simulation, data analysis, or prototyping is a plus. Work Arrangement: - Hybrid schedule available in Boston, Pittsburgh, or Las Vegas, or fully remote. Benefits: - Eligible employees may receive medical, dental, and vision coverage. - 401(k) with company match. - Health savings accounts. - Life insurance and pet insurance. - Potential bonus and company equity compensation. - Salary range: $205,000 — $272,500 USD. Equal Opportunity: The company is committed to diversity, inclusion, and equal employment opportunity and participates in E-Verify.

Technology

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.

Technology

Motional

Staff Motion Planning Engineer - Trajectory Generation

Senior

Hybrid

Las Vegas, NV

🏢 Summary: Technical leadership role focused on motion planning and trajectory optimization for autonomous vehicles, driving architecture, algorithm development, and scalable software systems for production robotaxis. The position involves cross-functional collaboration, optimization solver integration, and development of safety-critical real-time systems using C++ and robotics expertise. Hybrid or remote work is available with competitive compensation and benefits. 🗂️ Requirements: 5+ years of production-grade C++ software development, Experience with real-time, low-latency, or safety-critical systems, Degree in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or related field, Experience leading large-scale technical development initiatives, Expertise in motion planning and Model Predictive Control (MPC), Knowledge of planning under uncertainty and vehicle dynamics/control, Strong understanding of non-linear and numerical optimization algorithms, Experience with optimization solvers in embedded real-time environments, Ability to design scalable software architectures, Experience with closed-loop simulation environments 📃 Skills: C++, Python, MPC, IPOPT, Gurobi, OSQP, CasADi, Robotics, Optimization, Simulation, CI, Embedded 🏢 Description: Mission Summary: On our Motion team, you will serve as a technical leader, leveraging your deep expertise in motion planning, robotics, and software development to architect and advance the capabilities of production-ready autonomous vehicles. In this role, you will drive innovative research, own systemic design processes, and spearhead the implementation of performance-critical algorithms that enable safe, comfortable, and intuitive autonomous vehicle behaviors across autonomous vehicle fleets. If you are passionate about autonomous driving, thrive on solving challenging motion planning problems, and are eager to make a significant impact in a rapidly evolving field, this role offers the opportunity to work on cutting-edge autonomous systems. Technical Scope: - Architect state-of-the-art solutions for motion planning and trajectory optimization algorithms to guarantee safe, smooth, and comfortable vehicle motion. - Own the structural design of robust and scalable software by evaluating, benchmarking, and integrating diverse optimal control techniques and motion planning algorithms. - Establish code quality benchmarks and lead architectural code and design reviews using C++ across cross-functional services and technologies. - Define modern development toolchains, including testing frameworks, high-fidelity simulation, and continuous integration systems. Role Responsibilities: - Define and communicate complex system trade-offs and technical concepts to engineering peers and leadership. - Lead architectural co-design with teams focused on behavior planning, prediction, and vehicle control. - Author project proposals and technical roadmaps spanning multiple safety-critical vehicle subsystems. - Mentor engineers and foster a culture of rigorous research and product-focused engineering. What We're Looking For: - 5+ years of production-grade C++ software development experience in real-time, low-latency, or safety-critical applications. - Bachelor's, Master's, or PhD in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or related field preferred. - Proven experience leading large-scale technical initiatives from problem formulation through production implementation. - Deep expertise in Model Predictive Control (MPC), motion planning architectures, planning under uncertainty, vehicle dynamics/control, and closed-loop simulation. - Strong mathematical understanding of non-linear and numerical optimization algorithms, including interior point methods, sequential quadratic programming, and convex/non-convex optimization. - Experience deploying and scaling optimization solvers such as IPOPT, Gurobi, OSQP, and CasADi in real-time embedded environments. - Python experience for simulation, data analysis, or rapid prototyping is a plus. Work Arrangement: - Hybrid schedule with in-office collaboration in Boston, Pittsburgh, or Las Vegas, or fully remote. Compensation and Benefits: - Salary range: $205,000—$272,500 USD. - Additional compensation may include bonus or company equity. - Benefits include medical, dental, vision, 401k with company match, health savings accounts, life insurance, and pet insurance. Equal Opportunity: - The company is committed to diversity, inclusion, and equal employment opportunity. - Participation in E-Verify is required for employment eligibility verification.