Baseten Logo

Baseten

Software Engineer - Infrastructure

Reposted 20 Days Ago
In-Office or Remote
3 Locations
150K-230K Annually
Junior
In-Office or Remote
3 Locations
150K-230K Annually
Junior
Develop and maintain components for machine learning inference platform. Focus on Kubernetes deployments, resource management, and performance monitoring.
The summary above was generated by AI

ABOUT BASETEN

Baseten powers inference for the world's most dynamic AI companies, like OpenEvidence, Clay, Mirage, Gamma, Sourcegraph, Writer, Abridge, Bland, and Zed. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. With our recent $150M Series D funding, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction, we’re scaling our team to meet accelerating customer demand.

THE ROLE

As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core infrastructure, enabling developers to deploy, scale, and monitor ML models with high performance.

EXAMPLE INITIATIVES

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

  • Multi-cloud capacity management

  • Inference on B200 GPUs

  • Multi-node inference

  • Fractional H100 GPUs for efficient model serving

RESPONSIBILITIES

  • Develop infrastructure components for our ML inference platform using Python and Go

  • Implement and maintain Kubernetes deployments for model serving

  • Contribute to our inference orchestration layer for model deployments

  • Build and enhance monitoring systems for model performance metrics

  • Implement efficient resource management solutions for ML workloads

  • Support infrastructure automation to improve ML deployment workflows

  • Work closely with team members to implement technical solutions

  • Help balance performance optimization with system reliability

  • Participate in technical discussions around infrastructure improvements

  • Learn and apply infrastructure best practices

REQUIREMENTS

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

  • 1-3 years experience in software engineering or infrastructure

  • Proficient coding abilities in one or more popular programming or scripting languages; Go proficiency is a plus

  • Working knowledge of Kubernetes and containerization

  • Basic understanding of machine learning concepts and model serving

  • Familiarity with distributed systems concepts

  • Experience with basic monitoring and logging tools

  • Interest in ML/AI infrastructure and willingness to learn

  • Strong collaboration and communication skills

BENEFITS

  • Competitive compensation, including meaningful equity.

  • 100% coverage of medical, dental, and vision insurance for employee and dependents

  • Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)

  • Paid parental leave

  • Company-facilitated 401(k)

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

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

Top Skills

Go
Kubernetes
Python

Similar Jobs

2 Days Ago
In-Office or Remote
Select, KY, USA
178K-240K Annually
Senior level
178K-240K Annually
Senior level
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
The role involves re-architecting identity systems, leading a team, collaborating across the company, and mentoring junior engineers.
Top Skills: GoMfaOauthOidcPythonRbacSAMLSso
3 Days Ago
Easy Apply
Remote
USA
Easy Apply
186K-219K Annually
Senior level
186K-219K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Design and operate distributed database technologies, focusing on scalability and reliability. Guide teams in technical choices and maintain high availability systems.
Top Skills: AuroraClickhouseDynamoDBGoJavaMemcachedMongoDBPythonRdsRedis
13 Days Ago
Easy Apply
Remote
United States
Easy Apply
169K-240K Annually
Senior level
169K-240K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Lead a team in building and maintaining scalable backend systems and infrastructure, ensuring high availability and quality in code development, while collaborating with stakeholders and guiding team growth.
Top Skills: AirflowAWSFlinkFlyteKotlinKubernetesLuigiMySQLPrefectPythonSparkTemporal

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account