{"id":132328,"url":"https://alion.io/job/sunday-ml-infrastructure-engineer","title":"ML Infrastructure Engineer","company":{"id":50762,"name":"Sunday","domain":"sunday.ai","url":"https://alion.io/company/sunday-ai","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":56,"open_postings":19,"ghost_share":0.737,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-20T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Redwood City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":400000,"currency":"USD","period":"year","gross":null,"usd_annual":400000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Knowledge Distillation","optional":false},{"name":"Kubernetes","optional":false},{"name":"Model Distillation","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"SLURM","optional":false}],"status":"live","first_seen_at":"2026-02-11T20:15:42Z","employer_posted_date":"2026-02-11","last_verified_at":"2026-10-20T18:17:17Z","board_verified":true,"closed_at":null,"days_open":251,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":250},"description":"Join Us in Building the Future of Home Robotics\nAt Sunday, we're developing personal robots to reclaim the hours lost to repetitive tasks. We're focused on an ambitious goal to make generalized robots broadly accessible, enabling households to take back quality time.\nWe have spent the last 18 months building a talented team, securing capital, and validating our technology. We are now seeking passionate individuals to join us in the next phase of our growth. If you are ready to apply your skills to the forefront of robotics innovation, we’d love to hear from you.\nThe Role\nSunday Robotics is building the future of home robotics. We're developing end-to-end ML models for robot manipulation, and you'll have the opportunity to build and shape foundational systems that directly accelerate our path to putting robots in homes.\nThis is a broad role that can be tailored to your specific area of expertise: data pipelines, training infrastructure or inference. You'll build systems across the full robot learning pipeline: ingesting and processing multimodal data, scaling distributed training, optimizing inference for real-time control and building research tooling.\nWhat You'll Do\nTraining and Inference Infrastructure\nMaintain an effective research codebase with good ergonomics, optimizing for fast iteration and correctness\n\nOwn infrastructure for model training: job scheduling, checkpointing, metrics, and logging\n\nScale distributed training across GPU clusters with minimal researcher friction\n\nEnable training of larger models through sharding, activation checkpointing and memory optimization\n\nProfile and optimize gpu utilization, memory usage and training throughput\n\nBuild low-latency inference pipeline for real-time robot control, apply quantization, distillation and model compilation to optimize inference performance\n\nWork closely with researchers and roboticists to translate research needs into reliable software and infrastructure\n\nData Pipelines and Research Tooling\nDesign high-throughput pipelines for ingesting, validating, and transforming multimodal robot data (video, proprioception, actions)\n\nBuild storage systems and metadata indexing for efficient dataset management at large scale\n\nOptimize dataloaders, sharding and prefetching to minimize time from data arrival to model training\n\nBuild research tooling for debugging, visualization and experiment analysis\n\nWhat We're Looking For\nStrong software engineering and systems fundamentals\n\nExperience building distributed systems or large-scale data pipelines\n\nHands-on experience with ML training infrastructure, ideally PyTorch\n\nComfort reasoning about performance, memory, I/O, and GPU utilization\n\nExperience managing training workloads (SLURM, Kubernetes, or similar)\n\nOwnership mindset: you design, build, operate, and iterate on systems end-to-end\n\nEnjoy working closely with researchers and unblocking fast-moving projects\n\nNice to Have\nExperience with robotics data pipelines or multimodal models\n\nBackground in VLAs, Video Generation architectures or robot learning systems\n\nDeep ML systems experience: training compilers, custom kernels, runtime optimization\n\nHands-on GPU performance tuning\n\nExperience with serialization formats for high-performance systems (Protobuf, FlatBuffers, MCAP)\n\nAt Sunday Robotics, we’re building technology shaped by real people - curious, creative, and diverse. We’re proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.\nEven if you don’t meet every single requirement, we encourage you to apply. 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