What are the responsibilities and job description for the Senior Software Engineer - Infrastructure position at AI Fund?
About Baseten
Baseten powers inference for the world's most dynamic AI companies, like
THE ROLE
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:
Responsibilities
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.
Baseten powers inference for the world's most dynamic AI companies, like
THE ROLE
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:
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
- 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
- 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.
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.
