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Forward Deployed Engineer (Training)

BasetenSan FranciscoEPD
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Salary
$200K - $400K USD
Job type
Full-time
Work mode
Remote
Posted
19 Aug 2026
Status
Open · checked 8d ago

About this role

The Forward Deployed Engineer role at Baseten is a full-time position based in San Francisco with remote flexibility, designed for professionals with one to two years of experience. This opportunity suits software engineers eager to partner directly with leading AI companies to scale production inference and infrastructure.

Role Overview

Forward Deployed Engineers collaborate closely with the fastest-growing artificial intelligence companies worldwide, taking charge of their technical success on the platform. The work covers the entire model lifecycle, ranging from post-training and inference to building the underlying systems that connect them.

Key Responsibilities

Function as the primary technical leader for assigned accounts, ensuring workloads are properly designed, executed, and scaled.
Transform vague customer objectives into shipped products by building proofs of concept and carrying them to production swiftly.
Design evaluations and benchmarks to diagnose performance or quality bottlenecks, resolving issues through inference optimization or post-training.
Respond to critical failures by triaging problems, fixing them directly, or collaborating with internal teams until resolution.
Create internal automation, tooling, and reference implementations to make customer onboarding and deployments faster.
Shape product roadmaps by translating customer requirements into fixes and new features built directly into the codebase.
Manage multiple client accounts simultaneously, keeping stakeholders aligned on project status and risk.

Requirements

Minimum of one to two years of software engineering experience shipping and maintaining production systems across the stack.
Demonstrated ability to debug complex production issues using logs, metrics, and traces.
Confidence in taking ownership of ambiguous technical challenges and making sound decisions under uncertainty.
Strong motivation to interact directly with clients, understand their pain points, and influence product direction.
Exceptional communication skills for explaining complex technical concepts to diverse audiences.
Genuine interest in artificial intelligence inference infrastructure and a drive to build expertise in the domain.
Willingness to participate in on-call rotations and respond to customer needs outside standard hours.
Enthusiasm for supporting leading companies running mission-critical AI workloads.

Nice to Have

Depth in core infrastructure domains including storage systems or networking from cloud layers to cluster interconnects.
Experience operating distributed compute platforms such as Kubernetes, Slurm, or Ray for GPU workloads.
Detailed comprehension of large language model architectures and modern inference engines like vLLM, TensorRT-LLM, or SGLang.
Capability to profile and optimize GPU workloads for training or serving.
Practical background in post-training methods like SFT and RL, alongside fluency in tensor computation libraries like PyTorch or JAX.
Operational experience leading incident response and debugging distributed systems.

Skills and Tools

PyTorch
Kubernetes
Spark
LLM

Salary and Benefits

Annual salary range between $200,000 and $400,000 in USD.
Competitive compensation package featuring meaningful equity.
Full 100% medical, dental, and vision insurance coverage for employees and dependents in the U.S.
Flexible paid time off policy including a company-wide winter break.
Paid parental leave alongside fertility and family-building stipends through Carrot.
Company-facilitated 401(k) program for U.S. employees.
Direct exposure to innovative machine learning startups offering unique networking opportunities.

About the Company

Baseten powers mission-critical inference for dynamic artificial intelligence companies such as Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. The organization recently secured a $1.5 billion Series F funding round led by Altimeter Capital, Conviction Partners, and Spark Capital to expand its flexible infrastructure and developer tooling.

How to Apply

Visit the official company careers page to apply for this position and help shape the future of artificial intelligence infrastructure.

Skills and tech stack

PyTorchKubernetesSparkLLM

Questions candidates ask

What is the salary range for the Forward Deployed Engineer role?

The annual salary ranges from $200,000 to $400,000 in USD, accompanied by meaningful equity and comprehensive benefits.

Where is this job located?

The position is based in San Francisco with remote flexibility available.

How many years of experience are required?

Candidates need a minimum of 1 to 2 years of software engineering experience shipping and maintaining code in large production systems.

What skills are associated with this role?

Key skills and technologies mentioned include PyTorch, Kubernetes, Spark, and Large Language Models (LLMs).

What benefits are provided for U.S. employees?

U.S. employees receive 100% medical, dental, and vision coverage, a 401(k) plan, flexible PTO, paid parental leave, and family-building stipends.

Ready to apply?

The application is on the official Baseten careers page.

Apply on company site