Senior Software Engineer, Deep Learning for Computer Vision
Kodiak - Mountain View, CA
posted 4 days ago
About the position
Kodiak Robotics, Inc. was founded in 2018 and has become the trusted world leader in autonomous ground transportation committed to a safer and more efficient future for all. The company is developing an industry-leading artificial intelligence (AI) powered technology stack purpose-built for driverless military and long-haul trucking applications. Kodiak's unique modular hardware approach integrates sensors into a streamlined sensor-pod structure that optimizes for perception, scalability, and maintainability. The company autonomously delivers freight daily for its commercial customers across the Sun Belt states and for Atlas Energy in the Permian Basin. Kodiak also leverages its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. We are looking for a highly skilled Software Engineer with a focus on deep learning for computer vision applications to join us and solve real-world robotics problems.
Responsibilities
- Design machine learning algorithms and implement them in robust, efficient, and well-tested C++ and/or Python code.
- Lead the development of deep neural networks to solve real-world robotics challenges such as lane detection, object detection and classification, sensor fusion, tracking, prediction, anomaly detection, and planning.
- Work with camera, laser, radar, and ultrasound data and curate datasets for machine learning.
- Set up automated training pipelines and develop data analytics tools to incrementally improve performance on a growing dataset.
- Collaborate closely with other experts on the team, including the planning and systems engineering team.
Requirements
- Strong technical background. BS, MS or PhD with academic or at least 4-5 years industry experience in designing and implementing deep neural networks.
- Skilled software engineer with experience in C++ and strong problem-solving skills.
- Passionate about solving real-world robotics problems, ideally with experience on autonomous robots.
- Strong knowledge of data processing pipelines for training ML models in the cloud.
- Ability to build and iterate quickly, comfortable in the earlier stages of developing an algorithm from scratch.
- Hands-on experience working with production machine learning pipelines, from dataset collection and labeling to training and validation.
- Experience writing clear, concise, and detailed documentation.
Benefits
- Competitive compensation package including equity and biannual bonuses
- Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
- Flexible PTO and generous parental leave policies
- Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
- Long Term Disability, Short Term Disability, Life Insurance
- Wellbeing Benefits - Headspace, One Medical, Gympass, Spring Health
- Fidelity 401(k)
- Commuter, FSA, Dependent Care FSA, HSA
- Various incentive programs (referral bonuses, patent bonuses, etc.)
