Software Engineer - Infrastructure
- Toronto, ON, Canada
$165,000 to $330,000 USD / year · Full-time
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Job details
- Pay
- $165,000 to $330,000 USD / year
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
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 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:
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).
Compensation Range: $165K - $330K
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 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
- 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
- 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
- Competitive compensation, including meaningful equity
- (U.S. only) 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
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
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).
Compensation Range: $165K - $330K
More about this job
Responsibilities
Develop and maintain infrastructure for the ML inference platform, including Kubernetes-based model serving, inference orchestration, monitoring, and resource management. Improve deployment automation and balance performance with reliability while collaborating on infrastructure solutions.
Requirements
Requires a bachelor's degree or higher in computer science or a related field, coding proficiency in a popular programming or scripting language, and working knowledge of Kubernetes and containerization. Candidates should understand basic machine learning and model serving, distributed systems, and monitoring and logging, and be interested in ML infrastructure with strong collaboration and communication skills.
Skills
- Python
- Go
- Kubernetes
- Containerization
- Machine Learning
- Model Serving
- Distributed Systems
- Monitoring
- Logging
- Infrastructure Automation
- Resource Management
- Performance Optimization
- System Reliability
- Collaboration
- Communication
Benefits
- Equity
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Flexible Paid Time Off
- Company-Wide Winter Break
- Paid Parental Leave
- Fertility and Family-Building Stipend
- 401(k)
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Engineering
Keywords
- Machine Learning Inference
- AI Infrastructure
- Python
- Go
- Kubernetes
- Containerization
- Model Serving
- Inference Orchestration
- Distributed Systems
- Multi-Cloud Capacity Management
- B200 GPUs
- H100 GPUs
- Multi-Node Inference
- Fractional GPUs
- Monitoring
- Logging
- Model Performance Metrics
- Resource Management
- Infrastructure Automation
- ML Deployment
- Performance Optimization
- System Reliability
- Production AI Applications
- Developer Tooling