Kodiak Robotics

Senior AI Infrastructure Engineer - Model Training

Mountain View, CA · Senior

Sponsorship not specified$190k-$260kDetected 12 days ago

PythonC++Node.jsSpringMachine LearningPyTorchData EngineeringIntellectual PropertyRoboticsSensorsCommunication

About the role

The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector.
In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer.
Every improvement to our models - from GigaFusionNet to large-scale world models - depends on infrastructure that turns thousands of hours of multimodal driving data into training throughput.

Design high-throughput data loading and streaming systems for multimodal sensor data (camera, LiDAR, radar), including dataset formats, sharding strategies, and prefetching pipelines that keep GPUs saturated
Build and optimize distributed training infrastructure across multi-node GPU clusters, applying data, tensor, pipeline, and fully sharded (FSDP/ZeRO) parallelism to models that don't fit on a single device
Develop scalable dataset construction pipelines that convert petabytes of raw driving logs into training-ready, streamable formats
Partner with ML teams to scale new architectures from prototype to full-cluster training runs efficiently and reliably
Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.
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.

BS, MS, or PhD in Computer Science or a related field, and at least 2-3 years of industry experience in ML systems or infrastructure
Hands-on experience with distributed training frameworks and techniques (PyTorch DDP/FSDP, DeepSpeed, Megatron, NCCL) and a strong grasp of parallelism trade-offs

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)
Flexible PTO, 10 paid holidays, and generous parental leave policies
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)
Commuter, FSA, Dependent Care FSA, HSA
Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package
Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview.

streaming massive camera, LiDAR, and radar datasets without stalling a single GPU, sharding data and models efficiently across nodes, and extracting every FLOP from the latest hardware.
If you measure your impact in tokens per second and GPU utilization, this role is for you.
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 delivers freight daily for its customers across the southern United States using its autonomous technology.
Kodiak's AI is only as good as the speed at which we can train it.
As part of the evaluation process, we provide Endorsed with job requirements and candidate-submitted applications.

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.

Should the position require, and Kodiak determines that a candidate's 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-rel

This listing is sourced directly from Kodiak Robotics's careers page and normalized into a canonical job model.