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Senior AI Infrastructure Engineer - Model Training

Kodiak AI· AI & Machine Learning
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Mountain View, CA$190k - $260kFull-timePosted 3mo ago

About the role

Senior AI Infrastructure Engineer focused on high-throughput model training infrastructure for multimodal autonomous driving data at Kodiak AI, optimizing data loading, distributed training across multi-node GPU clusters, and accelerator utilization to maximize training throughput.

Responsibilities

  • 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
  • Maximize utilization of modern accelerators such as NVIDIA B200s through mixed-precision training (BF16/FP8), fused kernels, memory optimization, and communication/computation overlap
  • Profile end-to-end training pipelines to find and eliminate bottlenecks across storage, network, CPU preprocessing, and GPU compute
  • 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

Qualifications

  • 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
  • Experience building high-performance data pipelines for large-scale training, including streaming dataset formats (WebDataset, MosaicML Streaming/MDS, or similar), sharding, and storage/network-aware loading
  • Deep understanding of GPU performance: mixed precision, memory hierarchy, kernel fusion, profiling tools (Nsight, PyTorch Profiler), and interconnects (NVLink, InfiniBand)
  • Strong Python skills and proficiency in PyTorch internals; systems-level experience (C++/CUDA/Triton) a plus
  • Passion for building the infrastructure that lets AI for the physical world train faster, scale further, and improve continuously

Skills

Required:Distributed training frameworksData pipeline developmentGPU performance & profilingProgramming languages

Benefits

  • 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
  • Office located in Mountain View, CA
  • Dog-friendly office with free catered lunch, 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.)
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Kodiak AI

Safely driving an autonomous future.

Our purpose-built autonomous solution, the Kodiak Driver, is the AV industry’s most advanced driverless technology, seamlessly integrating into any driving platform for reliable movement in any environment. Learn how we’re shaping the future of ground transportation.

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