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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Autonomy Systems Software Engineer - **Company:** Kodiak Robotics - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Salary:** $200,000.0 - $245,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Neural Networks, Computer Vision, C++ (Programming Language), Computer Programming, Fault Tolerance, Failure Mode Effects Analysis, Python (Programming Language), Kinematics, MATLAB, Machine Learning, Microsoft Dynamics, Motion Planning, Sensor Fusion, Software Systems, Verification and Validation (Software), Systems Architecture, Safety Critical Systems, Reliability of Systems, Gaussian, Markov - **Published:** July 28, 2026 - **Apply:** https://www.dice.com/job-detail/dd533fd8-06a7-407a-adfd-b58a663c1b0f ## About the Role We are looking for a Senior Autonomy Software Systems Engineer who can derive requirements from first principles for safe and mission-critical autonomous behavior across both commercial and defense applications. An ideal candidate will have a background in developing algorithms for autonomy or robotics in aerospace, defense, or automotive domains. This will be used to support our safety claims about safe perception, motion planning, and control for autonomous robots deployed in both commercial freight and defense logistics environments. ## Description * Collaborate closely with Autonomy Software teams by using first-principles analysis to develop requirements for safe perception, localization, prediction, motion planning, and/or control algorithms. * Identify edge cases that could help us expose weaknesses in our system prior to encountering them in on-road environments. * Provide analysis to support complex autonomy system design trade-offs to inform system design decisions affecting safety and performance. * Support development of simulation scenarios, structured track testing, on-road road testing, and hardware-in-the-loop testing. What you'll bring: * Deep understanding of kinematics, dynamics, and system modeling * Strong programming skills in Python, MATLAB, C++, or C * Hands-on work across multiple of the following areas: + Sensor fusion and object tracking (e.g., Kalman filtering, particle filters, least squares estimation) + Machine learning methods (e.g., neural networks, SVMs, kNN, regression models, decision trees) + Classical computer vision (e.g., edge/corner detection, camera calibration, optics) + Motion planning (e.g., A*, RRT, potential fields) + Control systems (e.g., PID, nonlinear control, model predictive control) * Strong foundation in probability and statistics, including appropriate application of distributions (e.g., Gaussian, Poisson, binomial) * Working knowledge of autonomy system architectures and system-level design * Background in one or more of the following: + Bayesian inference (e.g., beta and gamma distributions) + Markov models and probabilistic system modeling + Simulation development and validation environments + System reliability analysis * Exposure to safety-critical standards such as ISO 26262, DO-178, or IEC 61508 (e.g., ASIL-D, DAL A, SIL 4) * Experience with safety analysis methodologies (e.g., FTA, FMEA, HARA) * Understanding of redundancy strategies and fault-tolerant system design * Familiarity with SOTIF, UL 4600, and safety case development (e.g., Goal Structuring Notation) * Knowledge of real-time, safety-critical systems * Experience contributing to verification and validation (V&V) efforts or full testing campaigns ## Related Videos - [Automated Driving - Why is it so hard to introduce](https://www.wearedevelopers.com/videos/628-automated-driving-why-is-it-so-hard-to-introduce) - [WeAreDevelopers LIVE - Building The World’s Worst Image Editor™](https://www.wearedevelopers.com/videos/1836-wearedevelopers-live-building-the-world-s-worst-image-editor) - [Leveraging Large Language Models for Legacy Code Translation: Challenges and Solutions](https://www.wearedevelopers.com/videos/1157-leveraging-large-language-models-for-legacy-code-translation-challenges-and-solutions) - [Rules, Heuristics, or LLMs? 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