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Senior Software Engineer - Infrastructure

Baseten San Francisco, New York
Posted 4 months, 3 weeks ago
Deadline: Not specified
Full Time Senior Software Engineering Remote

As a Senior Infrastructure Software Engineer at Baseten, you'll architect and lead development of our ML inference platform that powers production AI applications. You'll make key technical decisions for the infrastructure enabling developers to deploy, scale, and monitor ML models with high performance and reliability.

 

EXAMPLE INITIATIVES

You'll get to work on these types of projects as part of our Infrastructure team:

Requirements

Bachelor's degree or higher in Computer Science or related field

5+ years experience building production infrastructure systems

Expert-level proficiency in Go, with Python experience a plus

Deep expertise with Kubernetes in production environments

Extensive experience with major cloud providers (AWS, GCP) and neo-cloud providers (Crusoe, DigitalOcean, Nebius) a plus.

Advanced understanding of distributed systems concepts and performance tuning

Proven experience designing observability systems

Track record of leading technical initiatives and mentoring engineers

Experience with ML/AI workloads and MLOps platforms highly valued

Benefits

Competitive compensation package.

This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.

An inclusive and supportive work culture that fosters learning and growth.

Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Responsibilities

Design and architect scalable infrastructure systems for our ML inference platform

Lead optimization of Kubernetes deployments for efficient, cost-effective model serving

Drive enhancements to our inference orchestration layer for complex model deployments

Define monitoring strategies for model performance, latency, and resource utilization

Develop advanced solutions for GPU capacity management and throughput optimization

Establish infrastructure automation standards to streamline ML deployment workflows

Partner with other engineers to translate complex inference requirements into technical solutions

Make critical architectural decisions balancing performance with system reliability

Lead technical discussions and mentor junior engineers on infrastructure best practices

Contribute to long-term technical strategy and infrastructure roadmap

Salary
$200000 - $270000
per yearly
Company Size
Employment Type
Full Time
Work Mode
Remote (San Francisco, New York)
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