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.
Kodiaks AI is only as good as the speed at which we can train it. 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. We are looking for engineers who make model training fast: 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.
In this role you will:
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 dont 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
What youll bring:
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
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)
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
$190000 - $260000 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.
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.
Kodiaks AI is only as good as the speed at which we can train it. 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. We are looking for engineers who make model training fast: 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.
In this role you will:
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 dont 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
What youll bring:
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
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)
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
$190000 - $260000 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.
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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