Kodiak Robotics Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous 2024 Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop test and deploy autonomous capabilities for the U.S. Department of Defense.
Kodiak is seeking Machine Learning Engineers focussing on model deployment to help build the intelligence that powers the Kodiak Driver. Our ML teams work across perception prediction planning and AI infrastructure to turn real-world driving data into models that enable safe and scalable autonomous trucking.
In this role you will design and deploy machine learning systems that improve our vehicles ability to understand the world predict the behavior of other road users and make safe driving decisions. You will collaborate closely with robotics autonomy and infrastructure teams to continuously improve the performance of our autonomy stack using large-scale data from our growing fleet.
This is a high-impact opportunity to work on cutting-edge AI systems operating in the real world where every mile driven improves our models and brings autonomous trucking closer to global deployment.In this role you will:- Help design train with a focus towards deploying onboard machine learning models that improve the performance/latency of the Kodiak autonomy stack which includes quantization pruning converting to ONNX/TensorRT custom GPU kernels and profiling.
- Help identify and achieve parity between onboard and deployed offboard models using validation on HIL
- Collaborate with cross-functional teams including perception planning simulation and autonomy infrastructure to integrate ML models into production systems.
- Analyze real-world driving logs to identify edge cases and improve model robustness and safety.
- Use profiling tooling to additionally help improve the train time for models by identifying and removing bottlenecks.
- Contribute to the development of scalable AI infrastructure that supports continuous learning and deployment across Kodiaks fleet.
What youll bring:
- MS or PhD in Computer Science Robotics Machine Learning or a related technical field or equivalent practical experience.
Strong experience deploying machine learning or deep learning systems in production environments. - Proficiency in Python C and modern ML frameworks such as PyTorch or TensorFlow.
- Experience working with large-scale distributed training systems.
- Solid understanding of optimization and machine learning fundamentals.
- Strong software engineering fundamentals including testing debugging and system design.
- Ability to work collaboratively across teams to solve complex autonomy and robotics challenges.
What we offer:
- Competitive compensation package including equity and annual bonuses
- Excellent Medical Dental and Vision plans through Kaiser Permanente Cigna and MetLife (including a medical plan with infertility benefits)
- MetLife Legal Services Identity & Fraud Protection Hospital Indemnity Insurance Accident Insurance & Critical Illness Insurance
- Flexible PTO 10 paid holidays and generous parental leave policies
- Our office is centrally located in Mountain View CA
- 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 through Cigna Calm through Kaiser One Medical Gympass Spring Health through Cigna Rula (mental health navigation)
- Fidelity 401(k)
- Commuter FSA Dependent Care FSA HSA
- Various incentive programs (referral bonuses patent bonuses etc.)
The pay range listed below reflects the base salaryin our SF/Silicon Valley locationacross several internal levels. Actual starting pay will be based on job-related factors including: work location experience relevant training education skill level and performance during interview. Total compensation at Kodiak includes base pay equity bonus and a competitive benefits package
California Pay Range
$200000 - $265000 USD
At Kodiak we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race ethnicity religion gender identity sexual orientation age disability or veteran status or any other basis protected by applicable law.
In alignment with its business operations Kodiak adheres to all relevant statutes regulations and administrative prerequisites. Accordingly roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidates residence U.S. person status and/or citizenship status. Should the position require and Kodiak determines that a candidates residence U.S. person status and/or citizenship status necessitate an export license bar the candidate from the position or otherwise fall under national security-related restrictions Kodiak will consider the candidate for alternative positions unaffected by such restrictions under terms and conditions set forth at Kodiaks sole discretion or as an alternative opt not to proceed with the candidates application. If applicable Kodiak may provide visa sponsorship for eligible candidates.
Required Experience:
IC
Kodiak Robotics Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector....
Kodiak Robotics Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous 2024 Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop test and deploy autonomous capabilities for the U.S. Department of Defense.
Kodiak is seeking Machine Learning Engineers focussing on model deployment to help build the intelligence that powers the Kodiak Driver. Our ML teams work across perception prediction planning and AI infrastructure to turn real-world driving data into models that enable safe and scalable autonomous trucking.
In this role you will design and deploy machine learning systems that improve our vehicles ability to understand the world predict the behavior of other road users and make safe driving decisions. You will collaborate closely with robotics autonomy and infrastructure teams to continuously improve the performance of our autonomy stack using large-scale data from our growing fleet.
This is a high-impact opportunity to work on cutting-edge AI systems operating in the real world where every mile driven improves our models and brings autonomous trucking closer to global deployment.In this role you will:- Help design train with a focus towards deploying onboard machine learning models that improve the performance/latency of the Kodiak autonomy stack which includes quantization pruning converting to ONNX/TensorRT custom GPU kernels and profiling.
- Help identify and achieve parity between onboard and deployed offboard models using validation on HIL
- Collaborate with cross-functional teams including perception planning simulation and autonomy infrastructure to integrate ML models into production systems.
- Analyze real-world driving logs to identify edge cases and improve model robustness and safety.
- Use profiling tooling to additionally help improve the train time for models by identifying and removing bottlenecks.
- Contribute to the development of scalable AI infrastructure that supports continuous learning and deployment across Kodiaks fleet.
What youll bring:
- MS or PhD in Computer Science Robotics Machine Learning or a related technical field or equivalent practical experience.
Strong experience deploying machine learning or deep learning systems in production environments. - Proficiency in Python C and modern ML frameworks such as PyTorch or TensorFlow.
- Experience working with large-scale distributed training systems.
- Solid understanding of optimization and machine learning fundamentals.
- Strong software engineering fundamentals including testing debugging and system design.
- Ability to work collaboratively across teams to solve complex autonomy and robotics challenges.
What we offer:
- Competitive compensation package including equity and annual bonuses
- Excellent Medical Dental and Vision plans through Kaiser Permanente Cigna and MetLife (including a medical plan with infertility benefits)
- MetLife Legal Services Identity & Fraud Protection Hospital Indemnity Insurance Accident Insurance & Critical Illness Insurance
- Flexible PTO 10 paid holidays and generous parental leave policies
- Our office is centrally located in Mountain View CA
- 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 through Cigna Calm through Kaiser One Medical Gympass Spring Health through Cigna Rula (mental health navigation)
- Fidelity 401(k)
- Commuter FSA Dependent Care FSA HSA
- Various incentive programs (referral bonuses patent bonuses etc.)
The pay range listed below reflects the base salaryin our SF/Silicon Valley locationacross several internal levels. Actual starting pay will be based on job-related factors including: work location experience relevant training education skill level and performance during interview. Total compensation at Kodiak includes base pay equity bonus and a competitive benefits package
California Pay Range
$200000 - $265000 USD
At Kodiak we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race ethnicity religion gender identity sexual orientation age disability or veteran status or any other basis protected by applicable law.
In alignment with its business operations Kodiak adheres to all relevant statutes regulations and administrative prerequisites. Accordingly roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidates residence U.S. person status and/or citizenship status. Should the position require and Kodiak determines that a candidates residence U.S. person status and/or citizenship status necessitate an export license bar the candidate from the position or otherwise fall under national security-related restrictions Kodiak will consider the candidate for alternative positions unaffected by such restrictions under terms and conditions set forth at Kodiaks sole discretion or as an alternative opt not to proceed with the candidates application. If applicable Kodiak may provide visa sponsorship for eligible candidates.
Required Experience:
IC
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Monthly Salary:
$ 200000 - 265000
Posted on:
4 hours ago
Vacancies:
1 Vacancy
