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Software Engineer, Autonomy Controls

Aurora Innovation, Inc. - Mountain View, California

Posted Feb 2, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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401(k) match
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Market context

Median wage (BLS OEWS)
$116,543 national median
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

53% above the BLS national median for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

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

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

Software Engineer, Autonomy Controls Mountain View, California Who we are Aurora's mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn . Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We're searching for a Control Systems Software Engineer to join Aurora's Autonomy Controls Software Team . The team is responsible for designing, implementing, integrating, and verifying the motion control system of the Aurora Driver with all vehicle platforms. In this role, you will - Develop motion control algorithms for a safety-critical system - Analyze control system performance in both offline and on-road execution environments - Verify robustness of system to disturbances, failure modes, and environmental conditions Required Qualifications - Experience building production-quality C++ code - 8+ years of experience working on control systems for vehicle platforms in automotive, aerospace, robotics, or related fields. - Experience in control system design with a solid foundation in control theory - Experience analyzing/simulating nonlinear vehicle dynamics - Knowledge of state

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