Baseten Logo

Baseten

Software Engineer - Infrastructure

Reposted 22 Days Ago
Remote or Hybrid
Hiring Remotely in Montréal, QC, CAN
Junior
Remote or Hybrid
Hiring Remotely in Montréal, QC, CAN
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 mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. 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. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.

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

  • 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

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

  • Paid parental leave

  • Fertility and family-building stipend through Carrot

  • 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.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Similar Jobs

6 Days Ago
Remote
Canada
Senior level
Senior level
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Design, build, and operate large-scale distributed storage systems ensuring durability, availability, and performance. Implement replication, erasure coding, and lifecycle management; write high-quality Go and Rust code; participate in on-call rotations; troubleshoot production issues; collaborate across networking, hardware, and capacity teams; own scoped projects and drive infrastructure architecture and reliability improvements.
Top Skills: C++CephDistributed Storage SystemsErasure CodingFile SystemsGfs/ColossusGoObservabilityProduction MonitoringReplication ProtocolsRustS3
11 Days Ago
Easy Apply
Remote
Canada
Easy Apply
Senior level
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Design, build, and operate Kubernetes cluster management tooling and developer-facing workflows. Deliver compute capabilities (jobs, cron, deployments, EFS, right-sizing), automate toil, improve observability and incident response, and partner with Security/Reliability teams. Apply AI tooling to improve infrastructure automation and developer productivity.
Top Skills: ArgocdAWSCncfEc2EcsEfsEksEnvoyGCPGenerative AiHelmIamIstioKubernetesMesosNomadPrometheusVpc
3 Hours Ago
Easy Apply
Remote
Canada
Easy Apply
Senior level
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
As a Senior Software Engineer, you will lead and support backend system projects focusing on security within Kubernetes and cloud infrastructure.
Top Skills: AWSHelmKotlinKubernetesMySQLPython

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account