Staff, Software Engineer - Motion Planning (Unstructured Environments)
Torc Robotics · Blacksburg, VA, Remote - US
Posted about 3 months ago
or apply directly on Torc Robotics's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Torc Robotics's roles stay open a median of 78 days
- Reposted
- No
- Salary listed
- No 11% of Torc Robotics's roles list one
- Ghost-job risk at Torc Robotics
- high 54 stale, 0 reposted of 56 open
- Hiring momentum
- 93 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-22
Measured from postings appearing on and disappearing from Torc Robotics's own greenhouse board since 2026-08-03. Full hiring picture for Torc Robotics.
About this role
The Staff Motion Planning Engineer at Torc will lead the development of motion planning, trajectory generation, and optimization systems for autonomous trucks operating in unstructured environments. This role involves providing technical leadership, collaborating across multiple teams, and ensuring the scalability and reliability of software design. The engineer will also be responsible for developing production-quality software and validating autonomous driving behaviors through various testing environments.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Torc Robotics as an employer.
What you need
- Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field with 10+ years of industry experience OR Master's degree with 7+ years of experience OR PhD with 5+ years of experience
- Proven experience operating as a Staff, Principal, or multi-team technical leader
- Deep expertise developing robotics, autonomous vehicle, ADAS, or other complex real-time software systems
- Deep expertise in modern C++ development within Linux-based environments
- Diverse experience developing motion planning, trajectory generation, trajectory optimization, behavior planning, or decision-making systems for robotics or autonomous systems
- Strong understanding of vehicle dynamics, vehicle kinematics, trajectory feasibility, and planning system architecture
Nice to have
- Experience with Model Predictive Path Integral (MPPI), Model Predictive Control (MPC), convex optimization, quadratic programming (QP), nonlinear optimization, or other optimization-based planning techniques for autonomous vehicles
- Experience applying machine learning techniques such as imitation learning, reinforcement learning, or hybrid planning architectures
- Experience integrating machine learning models into real-time or production systems
- Experience working with simulation platforms and large-scale autonomy validation environments
- Experience with robotics frameworks such as ROS/ROS2, Autoware, Apollo, or similar autonomy platforms
What you get
- 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
Worth weighing
- No salary listed, but a hiring range is provided
- Role involves significant collaboration across multiple teams, which may require strong interpersonal skills
- Position requires U.S. citizenship due to access to restricted information
- Some travel to Europe may be required for this role
Summarised from Torc Robotics's posting. Read the full original.
Listed by Torc Robotics on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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