San Francisco, California, United States · On-site
Who We Are Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to …
Skills: Distributed Systems, Data Pipelines, Object Storage, Machine Learning Infrastructure, Batch Processing
Dublin, California, United States · On-site
$133k–$174k/yr
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just u…
Skills: Program Management, Partner Operations, Education Operations, Stakeholder Management, Process Design
General MedicineSan Francisco, California, United States · Hybrid
About General Medicine General Medicine is building a healthcare store that makes it radically simpler — and more transparent — for people to access care. We provide upfront cash and insurance prices for visits, prescrip…
Skills: Product Management, Consumer Product Strategy, Roadmap Development, KPI Definition, A/B Testing
San Francisco, California, United States · Hybrid
$150k–$250k/yr
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructu…
Skills: Governance Risk And Compliance, SOC 2, ISO 27001, ISO 27701, FedRAMP
San Francisco, California, United States · Hybrid
$250k–$330k/yr
About the Team The Early Access Program (EAP) team leads high-impact alpha programs at the intersection of customers, Product, Research, Engineering, GTM, Security, Legal, and launch teams. We partner with customers to t…
Skills: Python, JavaScript, TypeScript, Cloud Deployment, LLM Reasoning
Northrop Grumman Mission Systems, Inc.San Diego, California, United States · On-site
$156k–$235k/yr
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: No CLEARANCE TYPE: Top Secret TRAVEL: Yes, 25% of the TimeDescription At Northrop Grumman, our employees have incredible opportu…
Skills: Machine Learning, Deep Learning, Python, SQL, CI/CD
San Diego, California, United States · On-site
$177k–$266k/yr
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: Yes, 10% of the TimeDescription At Northrop Grumman, our employees have incredible opport…
Skills: Model-Based Systems Engineering, Cameo Enterprise Architecture, Systems Architecture, DevSecOps, Agile Practices
San Diego, California, United States · Hybrid
$92k–$171k/yr
RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: No CLEARANCE TYPE: Interim Secret TRAVEL: Yes, 10% of the TimeDescription At Northrop Grumman, our employees have incredible opportu…
Skills: DevSecOps, Python, Java, C++, React.js
Huntsville, Alabama, United States · On-site
$183k–$318k/yr
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 25% of the TimeDescription At Northrop Grumman, our employees have incredible opportunit…
Skills: C++, Real-time Embedded Software, Object-oriented Design, Hardware/Software Integration, System Architecture
San Diego, California, United States · On-site
$89k–$134k/yr
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group > Cellular System Test Engineering General Summary: As a member of the Modem SW Image Integration & Test (I&T) team, you will be responsib…
Skills: 5G NR, 4G LTE, Python, Modem Testing, Embedded Systems
San Diego, California, United States · On-site
$137k–$192k/yr
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group > Modem Technologies General Summary: This individual independently plans, performs the moderately-defined responsibility for the designin…
Skills: Modem Integration, DevOps, Continuous Integration, Wireless WAN, RAN Technologies
Los Gatos, California, United States · On-site
$420k–$630k/yr
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed wit…
Skills: Technical Program Management, Ad Tech, Media Planning, Campaign Management, Forecasting
San Diego, California, United States · On-site
$123k–$184k/yr
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group > PPT Systems Engineering General Summary: Qualcomm's Chip Architecture multi-site team of systems engineers, hardware and software archit…
Skills: Computer Architecture, SoC Performance Analysis, C/C++ Programming, SystemC, System Profiling
Santa Clara, California, United States · On-site
$212k–$318k/yr
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group > Software Engineering General Summary: We are seeking a skilled and motivated Backend Engineer to join our backend team. You will help de…
Skills: Go, Java, Python, Node.js, Distributed Systems
Santa Clara, California, United States · On-site
$168k–$259k/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Lead the manufacturing…
Skills: Program Management, NPI (New Product Introduction), Manufacturing Support, Supply Chain Coordination, Risk Mitigation
San Jose, California, United States · Hybrid
$140k–$174k/yr
Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way. Audio Engineering Operations Manager Logitech is the Sweet Spot for pe…
Skills: Embedded Software Development, Firmware Development, Technical Project Management, Scrum, Agile
Victorville, California, United States · Hybrid
$24/hr–$26/hr
About Us: Effortless Office partners with our customers to make IT effortless so they can focus on their business. As a Hybrid Managed Services Provider (MSP) with a focus on providing world-class customer experience, we…
Skills: Hardware Support, Application Support, Networking, VoIP, Active Directory
Redwood City, California, United States · Hybrid
You'll own how Luma's models get served — integrating new architectures into the inference engine, scaling deployments across thousands of machines, and keeping expensive GPU fleets busy while meeting internal SLOs. This…
Skills: Python, System architecture, PyTorch, Hugging Face, vLLM
Redwood City, California, United States · Hybrid
You'll lead the team that owns Luma's entire inference serving stack — routing, scheduling, and fleet-wide orchestration across thousands of GPUs, multiple clouds, and hardware vendors — where all of Luma's compute meets…
Skills: Distributed systems, ML infrastructure, Model serving, Inference platforms, LLM
Redwood City, California, United States · Hybrid
You'll turn Luma's industry-leading generative video models into world models: interactive, controllable, physically faithful, and useful as a substrate for embodied reasoning. This is the role at the center of the thesi…
Skills: Generative modeling, World models, PyTorch, Computer vision, Robotics
San Francisco, California, United States • On-site
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Design and operate high-throughput data infrastructure and pipelines to power large-scale robot learning. Optimize data movement, storage layouts, and training-time performance to reduce the latency between data arrival and model training.
Requires strong software engineering fundamentals and experience building large-scale distributed systems or data pipelines. Candidates should be proficient in managing object storage, batch/streaming workflows, and optimizing I/O and memory efficiency.
Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.
As an ML Infra Engineer (Data Systems), you’ll build and operate the data infrastructure that powers large-scale robot learning. Your systems will sit directly between raw data sources and training/evaluation, enabling us to move faster while maintaining performance, correctness, and reliability at scale.
This is a systems role at the intersection of distributed systems, storage, and machine learning infrastructure.
The Infrastructure organization builds the foundations that make large-scale learning possible at PI. This includes training systems, data platforms, evaluation pipelines, and the tooling that allows researchers and roboticists to work with massive datasets safely and efficiently.
Data Ingestion & Processing: Design and build high-throughput pipelines that validate, transform, and featurize raw multimodal data.
Batch & Streaming Systems: Operate large-scale batch and streaming workflows over massive datasets.
Storage Systems: Design object storage layouts, metadata systems, and efficient access patterns; choose file formats with performance and scalability in mind.
Data Lifecycle Management: Build systems for backfills, dataset rebuilds, garbage collection, and large-scale transformations.
Training-Time Performance: Optimize dataloaders, sharding, prefetching, caching, and throughput to reduce time from data arrival → model training.
Metadata & Indexing: Build scalable metadata stores for datasets, annotations, and training artifacts.
Data Movement: Move petabytes efficiently across clusters and environments.
Operational Correctness: Implement observability, validation, and guardrails to prevent silent data regressions.
Cross-Functional Collaboration: Work closely with cross-functional teams of researchers, engineers and roboticists to translate evolving data needs into robust systems.
Strong software engineering fundamentals.
Experience building distributed systems or large-scale data pipelines.
Comfort reasoning about performance, memory, I/O, and storage efficiency.
Familiarity with batch and/or streaming processing systems.
Experience with object storage systems and data format tradeoffs.
Ownership mindset: design, build, operate, and iterate on systems end-to-end.
Enjoy working closely with researchers and unblocking fast-moving projects.
Experience with large ML training pipelines or dataloading systems.
Knowledge of columnar or custom data formats.
Experience with systems like ClickHouse, Ray, Flink, Spark, or similar.
Hands-on experience operating petabyte-scale datasets.
Debugging and fixing performance bottlenecks in data-heavy systems.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.
Based on 16157 listings with disclosed salaries, most software jobs in California pay between $125k–$276k per year. Individual offers vary with seniority, company size, and specialization.
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