Senior / Staff Software Engineer, Motion Planning

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified not verified - source not recorded; timestamp not recorded

Was this benefit information wrong? Tell us.

Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

91% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior / Staff Software Engineer, Motion Planning Remote US & Canada 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: www.waabi.ai You will... - Design and develop motion planning software and algorithms, building the brain which orchestrates decision making in dynamic, uncertain and interactive traffic scenarios. - Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale. - Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers to build a reliable autonomy stack for self-driving vehicles. Qualifications: - MS/PhD or Bachelor degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study. - Experience in planning/decision making approaches (e.g., optimal control, optimization based approaches, search methods, probabilistic decision making). - Production-quality coding skill in Python or C++. - Solid problem solving skills using linear algebra, geometry, statistics & probability. - Ability to rapidly prototype and test new algorithms. - Open-minded and collaborative team player with the willingness to help

Read the full description at jobs.lever.co. FewerJobs shows a source-linked preview and links to the original posting.