Назад
19 часов назад

Forward Deployed Engineers (AI)

200 000 - 400 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Forward Deployed Engineers (AI) (AI inference and infrastructure): Building and operating production AI inference, post-training, evaluation, and deployment systems for mission-critical customer workloads with an accent on distributed systems, GPU optimization, and customer-facing technical ownership. Focus on designing benchmarks, debugging complex production failures, improving model serving and post-training workflows, and shipping infrastructure and product changes across multiple accounts.

Location: San Francisco, United States; hybrid

Salary: $200,000–$400,000 per year plus equity

Company

Baseten provides inference infrastructure and developer tooling that help AI companies bring advanced models into production.

What you will do

  • Own technical outcomes for customer workloads, from problem framing and specifications through proof of concept and production deployment.
  • Design evaluations and benchmarks, optimize inference, improve models through post-training, and refine evaluation workflows.
  • Respond to mission-critical incidents, diagnose root causes, implement fixes, and coordinate with owning teams until resolution.
  • Build tooling, automation, deployment infrastructure, recipes, and reference implementations to make engagements more efficient and self-serve.
  • Translate customer needs into product roadmap improvements and ship fixes and features in the Baseten codebase.
  • Manage multiple customer engagements while aligning customers and internal stakeholders on status and risk.

Requirements

  • 1–2 years of software engineering experience shipping and maintaining code in large production systems.
  • Experience debugging complex production issues using logs, metrics, and traces.
  • Ability to own ambiguous technical problems, make decisions under uncertainty, and involve system owners when needed.
  • Strong communication skills with customer engineers and leadership.
  • Interest in AI inference, training, and the infrastructure that supports them.
  • Willingness to respond to customers outside regular working hours and participate in an on-call rotation.

Nice to have

  • Expertise in storage, networking, InfiniBand, RoCE, or other infrastructure domains.
  • Experience with Kubernetes, Slurm, or Ray for GPU workloads.
  • Knowledge of LLM architectures and inference engines such as vLLM, TensorRT-LLM, or SGLang.
  • GPU workload profiling and optimization experience.
  • Experience with SFT, reinforcement learning, PyTorch, JAX, or deep learning.
  • Operational experience with on-call, incident response, and distributed systems debugging.

Culture & Benefits

  • Competitive compensation with meaningful equity.
  • Medical, dental, and vision insurance fully covered for employees and dependents.
  • Flexible PTO and company-wide Winter Break from Christmas Eve through New Year's Day.
  • Paid parental leave and a fertility and family-building stipend.
  • Company-facilitated 401(k).
  • Exposure to ML startups and mission-critical AI workloads.

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