Senior Software Engineer (Controls)

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

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Childcare support

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Learning budget

Not verified

Verification

Not verified checked Jun 13, 2026

Salary

$140K-$200K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

U.S. benchmark only; posted salary is not compared across countries or currencies.

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.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Software Engineer (Controls) Sausalito The Job: We are seeking an exceptional and innovative Controls Engineer to design, develop, and implement control systems for our unmanned aerial vehicles (UAVs). The ideal candidate will have a strong background in control theory and hands-on experience with UAV systems. Experience applying machine learning (ML) and deep learning (DL) to enhance autonomous navigation, path planning, and flight performance is a distinct advantage. What You'll Do: Flight Control System Design: Design, implement, and test advanced control algorithms for UAVs to ensure stability, maneuverability, and reliable performance. Modeling and Simulation: Create and maintain dynamic flight models for various UAV platforms to simulate and validate control strategies. Path Planning and Autonomy: Integrate path planning algorithms for autonomous navigation, obstacle avoidance, and optimal flight route generation. ML/DL Integration: Apply machine learning and deep learning techniques to enhance flight control and dynamic flight models. Embedded Systems: Develop and optimize robust, compute-constrained code for embedded systems, ensuring reliability and real-time performance. Hardware-in-the-Loop (HIL) Testing: Conduct comprehensive system testing, including Hardware-in-the-Loop simulations and flight testing, to validate control system performance. Troubleshooting and Optimization: Analyze flight data to troubleshoot system issues, optimize control parameters, and continuously improve overall performance. Collaboration: Work closely with cross-functional teams, including mechanical, software, and systems engineers, to deliver high-quality and reliable drone solutions. What You Bring: EITHER PhD & 2+ years of work experience: PhD in Mechanical Engineering, Aerospace Engineering, Computer Engineering, Robotics, or a related field AND 2+ years of hands-on experience in control system design,

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