San Francisco, California, United States · Hybrid
$150k–$250k/yr
About Eventual Every breakthrough Physical AI system — humanoid robots, autonomous vehicles, video generation models — is trained on petabytes of video, lidar, radar, and sensor data. But today's data platforms (Databric…
Skills: Rust, C++, C, Systems Engineering, Operating Systems
San Francisco, California, United States · Remote OK
$150k–$200k/yr
InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to disc…
Skills: Demand Generation, Growth Marketing, Product Led Growth, Enterprise Sales Motion, Account Based Experience
San Francisco, California, United States · Hybrid
$210k–$240k/yr
Perplexity is seeking a GTM Strategy & Operations Lead to join our Enterprise team. In this role, you will own the analytical and operational foundation of our sales organization, working directly with the VP of Sales an…
Skills: GTM Strategy, Sales Operations, Revenue Operations, SQL, Salesforce
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
San Francisco, California, United States · On-site
$24/hr–$26/hr
Key Purpose The Prep Production Cook is responsible for producing visually appealing and good tasting foods to Guckenheimer standards. You will prepare, season, and cook soups, meats, vegetables, desserts, or other produ…
Skills: Food Preparation, Kitchen Equipment Operation, Seasoning, Recipe Adherence, Temperature Control
San Francisco, California, United States · On-site
Compensation TypeHourly Highgate Hotels Highgate is a premier real estate investment and hospitality management company widely recognized as an innovator in the industry. Highgate is the dominant player in U.S. gateway m…
Skills: Caulking, Grouting, Preventive Maintenance, Building Maintenance, Communication
San Francisco, California, United States · On-site
More Information about this Job IMMEDIATELY HIRING! Event Emergency Medical Technician (Event EMT) PART-TIME PER DIEM Opportunity Starting at $22.50/hr Location: San Francisco (747 Howard Street, South Medical Office, Sa…
Skills: Basic Life Support (BLS), Emergency Medical Care, Patient Care, Customer Service, Emergency Transport Coordination
San Francisco, California, United States · On-site
$20/hr–$29/hr
About Us: Proudly serving our San Francisco Bay Area communities since 1986, Mollie Stone’s Markets is a local, family-owned grocery store chain. With over 38 years of exemplary performance, Mollie Stone’s Markets contin…
Skills: Bookkeeping, Payroll Administration, Cash Handling, Analytical Skills, Time 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 Solely
We are seeking an experience part-time Nurse Practitioner to support our clinical team and advance Superpower’s mission. We are looking for NPs who care deeply about helping patients and are excited about joining a fast-…
Skills: Functional Medicine, Longevity Medicine, Integrative Care, Endocrinology, Metabolic Health
San Francisco, California, United States · On-site
Planned Companies –Concierge – Job Description Schedule: Saturday & Sunday 1:30 pm -9:15 pm & Monday and Tuesday 11:00 pm- 7:45 am Location: San Francisco, CA (Treasure Island) Pay: $24.00 per hour Summary Planned Compan…
Skills: Customer Service, Written Communication, Verbal Communication, Computer Skills, Time Management
San Francisco, California, United States · On-site
$29/hr–$30/hr
About Us: Proudly serving our San Francisco Bay Area communities since 1986, Mollie Stone’s Markets is a local, family-owned grocery store chain. With over 38 years of exemplary performance, Mollie Stone’s Markets contin…
Skills: Team Management, Time Management, Inventory Control, Stocking, Receiving
San Francisco, California, United States · On-site
$220k–$280k/yr
Your Opportunity At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together. W…
Skills: AI Risk Research, Generative AI, Red Teaming, Adversarial Testing, Responsible AI
San Francisco, California, United States · Hybrid
$170k–$190k/yr
About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Hiring exceptional talent is one of the most important ways we pursue this mission, and our Recruiting Coordinat…
Skills: Recruiting Coordination, Recruiting Operations, Stakeholder Management, Process Improvement, Team Leadership
San Francisco, California, United States · On-site
Employment Type - Full Time Location - San Francisco, CA Company – Dabri, Inc. About Us Dabri, Inc. is a California-based consulting firm specializing in program and construction management, engineering support, project …
Skills: Cost Estimating, Project Scheduling, Primavera P6, Time Impact Analysis, Vendor Negotiation
San Francisco, California, United States · On-site
$19/hr–$30/hr
Salary Range $17.00 - $25.30* Job Description: WHO WE ARE: Neiman Marcus is a leading luxury retailer that provides a curated product assortment, unparalleled services, and exclusive activations for customers in Pursuit …
Skills: Customer Service, Client Relationship Management, Sales Volume Growth, Product Knowledge, Consultative Selling
San Francisco, California, United States · On-site
$130k–$140k/yr
Job Description: Company Overview Founded over a decade ago, CRISPR Therapeutics is a leading biopharmaceutical company focused on developing transformative gene-based medicines for serious human diseases. The Company ha…
Skills: Gene Editing, Synthetic Immunology, Molecular Biology, Cloning, Primary T Cell Culturing
San Francisco, California, United States · Hybrid
About Menlo Menlo Research is an Applied R&D lab building Asimov, an open-source humanoid robot platform, and the full software stack that powers it. Our mission is to make humanoid labor economically viable, turning sof…
Skills: Data Collection, Program Management, Robotics, Data Pipeline Design, Hardware Debugging
San Francisco, California, United States · On-site
Overview Allied Universal®, North America’s leading security and facility services company, offers rewarding careers that provide you a sense of purpose. While working in a dynamic, welcoming, and collaborative workplace…
Skills: Security Patrol, Customer Service, Incident Response, Emergency Response, Access Control
San Francisco, California, United States · Hybrid
About Menlo Menlo Research is an Applied R&D lab building Asimov, an open-source humanoid robot platform, and the full software stack that powers it. Our mission is to make humanoid labor economically viable, turning sof…
Skills: Robotics, Developer Relations, Mechatronics, AI, Hardware Assembly
San Francisco, California, United States • Hybrid
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Design and build a video-native dataloader to stream multi-petabyte corpora to GPUs at line rate. Optimize the full data path from object storage to device RAM to eliminate copies and stalls for high-performance AI training.
Requires deep expertise in systems-level performance, memory hierarchies, and proficiency in Rust, C++, or C. Candidates must have a strong understanding of OS internals and data movement between NVMe, network, and CPU.
Every breakthrough Physical AI system — humanoid robots, autonomous vehicles, video generation models — is trained on petabytes of video, lidar, radar, and sensor data. But today's data platforms (Databricks, Snowflake) were built for spreadsheet-like analytics, not the multimodal corpora that power AI. Robotics and video-AI teams now lose 20-40% of their training time to dataloading alone. GPU bandwidth has grown 2-3× per generation. Storage and pipelines haven't. The gap widens every year.
Eventual was founded in 2022 to close it. Our open-source engine, Daft, is the distributed data engine purpose-built for multimodal AI — already running 2 PB/day at Amazon, 60-100 PB at another FAANG company, and in production at Mobileye, TogetherAI, and CloudKitchens. We are building a video-native index on top of our engine for Physical AI that streams curated datasets to GPUs at line rate. Saturates B200s today. Aimed at NVL72 and Vera Rubin tomorrow.
We're building this in partnership with the top PhysicalAI labs and public AI infrastructure companies today. We have raised $30M from Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, Array.vc, and angels from the co-founders of Databricks and Perplexity. We've assembled a world-class team from AWS, Render, Pinecone and Tesla. We have spent our careers powering the last generation of PhysicalAI in self-driving, and are excited to now do this for the next.
Join our small (but powerful!) team working together 4 days/week in our SF Mission district office.
As a Systems Engineer on the Dataloading team, you'll build the layer that turns multi-petabyte video corpora into dict[str, Tensor] already on the GPU at line rate. We work with the top labs training Physical AI on the newest generation hardware — H100, B200, GB200, NVL72, with Vera Rubin on the horizon — on billions of dollars worth of compute, in collaboration with partners that are the largest public AI companies on Earth. Our job is to keep those GPUs fed: rank-aware sampling, NVMe caching, video and sensor co-loading, random access into clips, decode pipelining. Streaming alone can already saturate a B200; the hard part is enabling the complex sampling patterns researchers actually need without giving up a single percentage point of MFU.
This is a systems engineering role for someone who feels physical pain when a system is slow. You won't need GPU experience on day one — we'll uplevel you on NVL72, CUDA, and SLURM. We will need you to bring real expertise on what happens between NVMe, network, memory, and CPU, and a deep instinct for where bytes go.
Design and build the video-native dataloader: rank-aware, NVMe-cached, random-access into clips, returns tensors directly to the GPU.
Profile and optimize the full data path from object store → NVMe → page cache → host RAM → device RAM. Eliminate every avoidable copy and stall.
Saturate the latest hardware (B200, GB200, NVL72) on real customer training jobs. Push toward Vera Rubin bandwidth requirements.
Own performance benchmarks against customer baselines (custom DataLoaders, DALI, decord, LeRobot) and against our own historical numbers — regressions get caught at PR time.
Partner with researchers at our partner labs to land the loader in their training stack and measure MFU end-to-end.
Work cross-team with Storage Infrastructure on the index/format boundary and with Visual Understanding on the model-output ingestion path.
Obsession with systems-level performance. You can recite Jeff Dean's "numbers every programmer should know" in your sleep. You eat flamegraphs for breakfast.
Strong opinions on io_uring — love it or hate it, you've earned the opinion.
Live and breathe Rust, C++, or C. You reach for them when it matters and you know why.
Strong familiarity with operating systems — page cache, scheduling, syscalls, NUMA, memory hierarchies.
A sense for where bytes actually go: NVMe vs. memory vs. network vs. PCIe vs. NVLink, and the throughput and latency budgets of each.
Experience working with GPUs is a plus, but you don't need it on day one.
Experience working with SLURM, Kubernetes for GPU workloads, or other HPC schedulers.
Hands-on CUDA experience.
Deep expertise on memory and caching subsystems — page cache tuning, hugepages, NUMA pinning, GPU-Direct Storage.
Worked on video decode pipelines (PyAV, decord, NVDEC) or PyTorch DataLoader internals.
Contributed to open-source systems projects in Rust/C++.
In-person, tight-knit team — 4 days/week in our SF Mission office.
Competitive comp and meaningful startup equity.
Catered lunches and dinners for SF employees.
Commuter benefit.
Team-building events and poker nights.
Health, vision, and dental coverage.
Flexible PTO.
Latest Apple equipment.
401(k) plan with match.
If slow systems evoke emotional pain for you and you want to spend the next few years making the most expensive GPU clusters on the planet earn their keep, we'd love to talk.
Multimodal data platform for AI systems | Simple and reliable data processing for any modality and scale
Eventual is building a multimodal data platform for AI systems from the ground up, designed to tackle the challenges of working with traditional data engineering and analytics alongside modern ML/AI workloads. Eventual has raised $30M from investors including Felicis, CRV, M12, Citi, YCombinator, Array VC, Caffeinated Capital and top Silicon Valley executives and founders in companies such as Meta, Lyft and Databricks.
Offices: 1550 Bryant St, San Francisco, California 94103, US
