What are the responsibilities and job description for the Site Reliability / Infrastructure Engineer position at DensityAI?
About The Role
Own the infrastructure that engineering depends on — Kubernetes clusters, CI/CD pipelines, on-prem ↔ cloud sync, observability, and high-availability platforms for chip-design and ML workloads. Work with chip-design and software teams driving DensityAI's AI accelerator program from first silicon through scale-out.
What you'll do
Base salary: $180k – $320k USD per year, depending on experience and qualifications. Final offers depend on level, location, and skills relevant to the role. Additional compensation: equity grant per company guidelines; medical / dental / vision; 401(k); standard PTO. Discussed in detail during the interview.
Visa sponsorship
DensityAI sponsors qualified candidates for H-1B, O-1, TN, E-3, and other employment-based visas, and we welcome applicants on F-1 OPT and STEM-OPT. Work authorization is required at start; we provide immigration support to secure or transfer status.
Equal Opportunity
DensityAI is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religious creed, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age (40 ), sexual orientation, military or veteran status, pregnancy, or any other status protected by law. We comply with the California CROWN Act and provide reasonable accommodations on request.
Own the infrastructure that engineering depends on — Kubernetes clusters, CI/CD pipelines, on-prem ↔ cloud sync, observability, and high-availability platforms for chip-design and ML workloads. Work with chip-design and software teams driving DensityAI's AI accelerator program from first silicon through scale-out.
What you'll do
- Own the infrastructure that engineering depends on — Kubernetes clusters, CI/CD pipelines, on-prem ↔ cloud sync, observability, and high-availability platforms for chip-design and ML workloads.
- Use and develop AI-assisted tool flows to accelerate infra automation and incident response.
- Exceptional abilities in Kubernetes operations, infrastructure-as-code (Terraform / Ansible), and CI/CD platforms (GitHub Actions, Bazel, Buildkite, or equivalent)
- 5 years of SRE / infrastructure engineering experience supporting engineering or ML teams at scale
- Hands-on with hybrid on-prem ↔ cloud architectures (AWS / GCP plus virtualization platforms like Proxmox or VMware)
- Strong fluency in observability stacks (Prometheus, Grafana, OpenTelemetry, Loki, or equivalent) and on-call practices
- (Optional) GitHub Enterprise administration, Bazel build systems, ML-platform infrastructure (training / inference), or RAG / knowledge-platform operations
Base salary: $180k – $320k USD per year, depending on experience and qualifications. Final offers depend on level, location, and skills relevant to the role. Additional compensation: equity grant per company guidelines; medical / dental / vision; 401(k); standard PTO. Discussed in detail during the interview.
Visa sponsorship
DensityAI sponsors qualified candidates for H-1B, O-1, TN, E-3, and other employment-based visas, and we welcome applicants on F-1 OPT and STEM-OPT. Work authorization is required at start; we provide immigration support to secure or transfer status.
Equal Opportunity
DensityAI is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religious creed, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age (40 ), sexual orientation, military or veteran status, pregnancy, or any other status protected by law. We comply with the California CROWN Act and provide reasonable accommodations on request.
Salary : $180,000 - $320,000