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
San Francisco, California, United States · On-site
$155k–$294k/yr
The opportunity Adobe Design is looking for a design leader who is energized to lead through ambiguity and transformation: a visionary who can help shape how people access knowledge and information while on the go, every…
Skills: Design Leadership, Mobile Design, Design Strategy, User-Centric Design, Product Strategy
San Francisco, California, United States · On-site
$140k–$280k/yr
The Problem 36 million businesses in America need insurance—it's not optional. 77% are underinsured. 40% have no coverage at all. The distribution system failed them: too slow, too opaque, too confusing. Over 90% of comm…
Skills: AWS, Postgres, Python, TypeScript, Go
San Francisco, California, United States · On-site
$89k–$130k/yr
Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-B…
Skills: Systems Administration, Executive Support, Windows, MacOS, Linux
San Francisco, California, United States · Hybrid
$173k–$286k/yr
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Product Job Details About Salesforce Salesforce is the #1 A…
Skills: Product Management, Infrastructure-as-a-Service, Platform-as-a-Service, Kubernetes, Containers
San Francisco, California, United States · On-site
$140k–$280k/yr
The Problem 36 million businesses in America need insurance—it's not optional. 77% are underinsured. 40% have no coverage at all. The distribution system failed them: too slow, too opaque, too confusing. Over 90% of comm…
Skills: Full-stack Engineering, Applied AI, Python, TypeScript, LLM Applications
San Francisco, California, United States · On-site
$34/hr–$49/hr
Please note: this is a temporary assignment with potential to extend. UCSF's Temporary Employment Program (TEP) recruits and hires temporary employees for immediate clerical and technical support services to UCSF Departm…
Skills: Patient Scheduling, Revenue Cycle Management, Customer Service, Insurance Verification, Medical Record Data Abstraction
San Francisco, California, United States · On-site
$173k–$178k/yr
Job Summary: The Project Manager (PM) is responsible for all aspects of more complex Project Management, including monitoring construction contract compliance and coordination of services in support of the campus departm…
Skills: Project Management, Construction Contract Administration, Budgeting, Cost Estimating, California Building Codes
San Francisco, California, United States · On-site
Job Summary: The Field Research Supervisor leads the clinical research activities of protocols under the Division of HIV, Infectious Diseases and Global Medicine investigating Long COVID and the clinical course of acute …
Skills: Clinical Research Management, Phlebotomy, Biological Sample Collection, Staff Supervision, Budget Management
San Francisco, California, United States · On-site
$52/hr–$65/hr
Under general supervision of the Clinical Manager and guided by the policies and procedures of UCSF Medical Center, Ambulatory Services, and the Department of Ophthalmology, the Clinical Technician is responsible for the…
Skills: Patient Care, Ophthalmic Work-up, Preliminary Testing, Ocular Anatomy, Surgical Assisting
San Francisco, California, United States · Remote OK
$125k–$250k/yr
About Span Span exists to help engineering organizations turn AI adoption into real effectiveness. As AI tools reshape how software gets built, the companies that continuously improve how their teams use AI in their day-…
Skills: Platform Engineering, Developer Experience, SRE, LLMs, AI Agents
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: Hardware Testing, Quality Control, Robot Provisioning, Troubleshooting, Multimeters
San Francisco, California, United States · On-site
We are passionate about our business and our culture, and are seeking individuals with that same drive. JOB DUTIES: Direct and manage a wide variety of quantitative analyses, including leverage buyout models, discounted …
Skills: Leverage Buyout Models, Discounted Cash Flow, Multiple Valuation Analysis, Merger And Acquisition, Credit Analysis
San Francisco, California, United States · Remote OK
$150k–$250k/yr
Are you ready to unlock intelligence? If you don’t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we’re looking for candidates that are particularly …
Skills: Design Systems, Visual Design, Interaction Design, Accessibility (WCAG), Figma
San Francisco, California, United States · Remote OK
Technical Marketing Manager About Ent Ent is the intent-aware workspace security platform for securing human and AI-driven work. Built to protect productivity, the new attack surface, Ent understands not just what users …
Skills: Technical Marketing, Product Marketing, Cybersecurity, Storytelling, Competitive Analysis
San Francisco, California, United States · Hybrid
$160k–$250k/yr
EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher …
Skills: Python, Go, Java, Node.js, C++
San Francisco, California, United States · Hybrid
$160k–$220k/yr
About Rec Think about the last time you tried to book a tennis court. Or sign your kid up for a swim lesson. Or find an open rec league that actually fits your schedule. You probably ended up on a website that looked lik…
Skills: B2B SaaS Marketing, Demand Generation, Account Based Marketing, HubSpot, Growth Strategy
San Francisco, California, United States · Hybrid
$85k–$91k/yr
Business Wire, a Berkshire Hathaway company, is the global market leader in press release distribution and regulatory disclosure. We are on a mission to redefine how organizations connect with their audiences - and that’…
Skills: Windows 10/11 Support, macOS Support, Microsoft Intune, Jamf, Microsoft 365
San Francisco, California, United States · On-site
$90k–$120k/yr
At SOM, we are a collective committed to shaping a better future for our clients, communities and planet. We aspire to create the most sustainable, impactful work through creative, interdisciplinary teams with all the re…
Skills: Revit Structure, BIM Management, Dynamo Scripting, Structural Engineering, Tekla Structures
San Francisco, California, United States · Remote OK
About AirGarage AirGarage is on a mission to bring real estate online, starting with parking. We replace broken parking machines, fragmented software, and manual, labor-intensive operations with a unified, data-rich oper…
Skills: Financial Modeling, Unit Economics, ERP Implementation, Cap Table Management, Budgeting and Forecasting
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.
