3 hours ago
Base Salary
$185k - $300k/yr
Responsibilities
- Own technical delivery for semiconductor and AI-infrastructure workstreams from scoping and prototypes through validation, production deployment, and adoption.
- Partner with customer engineers to define workflows, workloads, baselines, constraints, and success criteria.
- Scope and sequence delivery, manage dependencies and blockers, and balance scope, speed, and quality.
- Build and debug production-quality software, harnesses, integrations, and product features for chip design, verification, inference, and performance engineering.
- Design reproducible experiments, evaluations, graders, and benchmarks to validate correctness and performance.
- Investigate model behavior and failure modes and contribute evaluation or training data and targeted experiments.
- Contribute to core product development and resolve tooling gaps with product engineers.
- Lead technical discussions across customer, product, and research teams and communicate capabilities, limitations, risks, and next steps.
- Turn successful approaches into reusable software, tools, and playbooks for future engagements.
Requirements
- 5+ years of engineering or technical deployment experience that includes customer-facing work.
- Experience scoping and delivering complex systems in fast-moving or ambiguous environments.
- Ability to write and review production-grade software and debug unfamiliar systems across code, integrations, and runtime behavior.
- Experience building or deploying systems powered by LLMs or generative models.
- Hands-on experience with applied machine learning, model evaluation, data quality, experimentation, or model-behavior analysis.
- Ability to create clear evaluations, credible baselines, and reproducible experiments from ambiguous technical problems.
- Strong communication, product sense, judgment, and ability to work with researchers, product engineers, customer engineers, and stakeholders.
- Experience in semiconductor development, data-center systems, or inference engineering is helpful.
Benefits
- Hybrid work model with three days per week in the San Francisco office.
- Relocation assistance is offered.
- Up to 50% travel is required.
Categories
Forward Deployed
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.