{"id":69412,"url":"https://alion.io/job/kodiak-senior-ai-infrastructure-engineer-model-training","title":"Senior AI Infrastructure Engineer - Model Training","company":{"id":29704,"name":"Kodiak","domain":"kodiak.ai","url":"https://alion.io/company/kodiak","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":89,"open_postings":60,"ghost_share":0.1,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":76,"computed_at":"2026-10-22T06:10:10Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":190000,"max":260000,"currency":"USD","period":"year","gross":null,"usd_annual":260000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"DeepSpeed","optional":false},{"name":"FSDP","optional":false},{"name":"InfiniBand","optional":false},{"name":"Megatron-LM","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NCCL","optional":false},{"name":"NVLink","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Triton","optional":false},{"name":"World Models","optional":false}],"status":"live","first_seen_at":"2026-07-09T16:07:51Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-22T19:07:35Z","board_verified":true,"closed_at":null,"days_open":105,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":104},"description":"Kodiak AI, Inc. (Nasdaq: KDK), founded in 2018, is a leader in Physical AI, developing driverless technology that powers machines that move. Its Kodiak Driver is a vehicle-agnostic autonomous driving system that combines AI-powered software with modular hardware. Today it operates in long-haul trucking, industrial trucking, and defense. In 2024, Kodiak launched commercial Driver-as-a-Service operations with no one in the cab, and plans to launch driverless long-haul service between Dallas and Houston by the end of 2026.\nKodiak has partnered with many of the biggest names in freight, including Bosch for scaled hardware production, AWS, and leading customers including Atlas Energy Solutions, IKEA, Bridgestone, Werner Enterprises, C.R. England, Roehl Transport, and General Dynamics Land Systems.\nKodiak's 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.\nIn this role, you will:\nDesign 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\nBuild 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\nMaximize utilization of modern accelerators such as NVIDIA B200s through mixed-precision training (BF16/FP8), fused kernels, memory optimization, and communication/computation overlap\nProfile end-to-end training pipelines to find and eliminate bottlenecks across storage, network, CPU preprocessing, and GPU compute\nDevelop scalable dataset construction pipelines that convert petabytes of raw driving logs into training-ready, streamable formats\nPartner with ML teams to scale new architectures from prototype to full-cluster training runs efficiently and reliably\nWhat you’ll bring:\nBS, MS, or PhD in Computer Science or a related field, and at least 2-3 years of industry experience in ML systems or infrastructure\nHands-on experience with distributed training frameworks and techniques (PyTorch DDP/FSDP, DeepSpeed, Megatron, NCCL) and a strong grasp of parallelism trade-offs\nExperience 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\nDeep understanding of GPU performance: mixed precision, memory hierarchy, kernel fusion, profiling tools (Nsight, PyTorch Profiler), and interconnects (NVLink, InfiniBand)\nStrong Python skills and proficiency in PyTorch internals; systems-level experience (C++/CUDA/Triton) a plus\nPassion for building the infrastructure that lets AI for the physical world train faster, scale further, and improve continuously\nWhat we offer:\nCompetitive compensation package including equity and annual bonuses\nExcellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits)\nMetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance\nFlexible PTO, 10 paid holidays, and generous parental leave policies\nOur office is centrally located in Mountain View, CA\nOffice perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging\nLong Term Disability, Short Term Disability, Life Insurance\nWellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) \nFidelity 401(k)\nCommuter, FSA, Dependent Care FSA, HSA\nVarious incentive programs (referral bonuses, patent bonuses, etc.)\nThe pay range listed below reflects the base salary in our SF/Silicon Valley location, across 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\nCalifornia Pay Range\n$190,000—$260,000 USD\nAt 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.\nIn 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 candidate’s residence, U.S. person status, and/or citizenship status. 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-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak’s sole discretion, or, as an alternative, opt not to proceed with the candidate’s application. If applicable, Kodiak may provide visa sponsorship for eligible candidates.\nWe use a third-party AI tool (Endorsed) to assist in the initial screening of applications. As part of the evaluation process, we provide Endorsed with job requirements and candidate-submitted applications. Final hiring decisions are made by our human recruitment team, and no automated system makes the ultimate decision regarding hiring. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. We began using Endorsed on January 1, 2026. You can review the independent bias audit report covering our use of Endorsed [here](https://endorsed.com/local-law-144). By submitting your application, you acknowledge that your application may be processed by AI systems as part of the screening and selection process. If you have any questions or would like to request a separate review of your application, please contact  with \"Separate Review Request\" in the email subject line.","description_format":"text","description_chars":6997,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":["Annual bonuses","Equity","Life insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Autonomous Driving","Logistics","Road Transport"],"lifecycle":[{"event":"open","at":"2026-07-09T16:07:51Z"}],"visa":[],"liveness":{"score":30,"band":"fade","label":"Fading","p_open":1,"p_active":0.679,"p_room":0.44,"age_days":104,"expected_fill_days":76,"reasons":["conf:1","velocity","win:tail","crowd:"],"computed_at":"2026-10-22T06:10:10Z"},"pay":{"stated_usd_annual":260000,"is_top_pay":true},"html_url":"https://alion.io/job/kodiak-senior-ai-infrastructure-engineer-model-training","json_url":"https://alion.io/job/kodiak-senior-ai-infrastructure-engineer-model-training.json","meta":{"generated_at":"2026-10-22T19:49:45Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3388,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":29704},"rest":"https://alion.io/mcp/rest/get_company?id=29704"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkodiak-senior-ai-infrastructure-engineer-model-training"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fkodiak-senior-ai-infrastructure-engineer-model-training"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fkodiak-senior-ai-infrastructure-engineer-model-training"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/kodiak-senior-ai-infrastructure-engineer-model-training\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkodiak-senior-ai-infrastructure-engineer-model-training"}]}