Research Engineer
- Location
- San Francisco, CA · On-site
- Job type
- Full-time
- Level
- Mid-level
- Listed
- 23 days ago
Skills & highlights for this role
- large-scale model training
- Kubernetes
- distributed systems
- multi-petabyte data processing
Also useful
- JAX
- CUDA kernels
- distributed training
- robotics deployment
You might be a good fit if you
- Have trained models across large GPU clusters and are comfortable working with Kubernetes
- Have built or operated complex distributed systems
- Have worked with multi-terabyte or multi-petabyte datasets
- Are comfortable with large-scale data processing tools
- Care deeply about observability and collect enough metrics to understand what every part of a system is doing
- Are comfortable moving between research code and production-quality systems
- Like running experiments, getting surprising results, and digging in until you understand why
- Move quickly and reach for simple approaches before complicated ones
Nice to have
- Experience with JAX
- Experience writing CUDA kernels or otherwise optimizing GPU workloads
- Low-level Linux or kernel programming experience
- Experience with large-scale video or multimodal datasets
- Experience building training or evaluation infrastructure
- Experience with distributed training
- Experience deploying models into real-world systems, especially robotics
Additional information
We care much more about what you've built than any specific credential. We're a small, fast-moving team working together in person in San Francisco. If you're excited about architecting novel systems at unprecedented scale, we'd love to talk.
About Pantograph
Pantograph is training general models that start by watching internet-scale video and end up on robots. We think the path to capable robots runs through general intelligence rather than narrow, robot-specific skills. We're scaling simple methods across video games, real-world video, and our own fleet of affordable, durable robots.
We're looking for a research engineer to help us train increasingly capable models across enormous and diverse datasets.
You'll work across the boundary between research and engineering: implementing new ideas, scaling experiments across large GPU clusters, building the systems that let us iterate quickly, and figuring out why things aren't working. The work spans large-scale model training, multimodal representation learning, reinforcement learning, data processing, evaluation, and the infrastructure required to support all of it.
From Pantograph's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
Where is the Research Engineer job at Pantograph located?
This Research Engineer position at Pantograph is located in San Francisco, CA (On-site). Always check Pantograph's application page for specific state eligibility or relocation policies.
What qualifications are required for Research Engineer at Pantograph?
For the Research Engineer role, Pantograph highlights experience with large-scale model training, Kubernetes, distributed systems, multi-petabyte data processing. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Research Engineer position at Pantograph?
This listing links directly to Pantograph's Ashby application page. You can apply directly on Pantograph's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.