SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value.
The Cloud Platform team owns the production inferencing service that serves SambaNova's models to customers on RDU accelerators, including capacity planning, deployment, monitoring, and incident response across regions in the United States, Asia, Europe, and Latin America.
About the teamThe Cloud Platform team owns the production inferencing service that serves SambaNova’s models to customers on RDU accelerators, including capacity planning, deployment, monitoring, and incident response across regions in the United States, Asia, Europe, and Latin America.
About the roleAs a Senior Principal Cloud Platform Engineer, you’ll set the technical direction for keeping our AI inferencing platform reliable, fast, and scalable. Your focus is uptime, latency, and resource
utilization on the inference endpoints customers depend on. The work spans monitoring, deployment, capacity planning, and incident response, and includes a shared on-call rotation providing 24/7 coverage. You’ll also serve as a technical leader for the Bengaluru team, mentoring engineers and shaping reliability and platform practices across regions.
Responsibilities- Own the availability, latency, and efficiency of the production inferencing service,including change management, emergency response, and standing up AI infrastructure in new regions
- Define the reliability and platform engineering strategy for the service, including SLOs, error budgets, and multi-region architecture, and drive alignment with engineering, product, and operations stakeholders
- Build and maintain monitoring, alerting, and dashboards in Prometheus, Grafana, and Datadog covering service health, model latency and throughput, and RDU utilization
- Lead incident response for high-severity events, run blameless post-mortems, and drive systemic fixes and automation of the toil those incidents expose
- Find and fix performance bottlenecks, and design auto-scaling and capacity planning policies that handle variable inference load without overspending
- Manage cloud and on-prem infrastructure as code in Terraform and Ansible, and architect the CI/CD pipelines that deploy new model versions and service updates
- Mentor and raise the technical bar for SRE and platform engineers, through design reviews, on-call practices, and knowledge sharing
- B.S. in Computer Science, Computer Engineering, or related field, or equivalent practical experience
- 10+ years of experience across Site Reliability Engineering and Platform Engineering roles supporting large-scale, customer-facing services in public cloud environments (AWS, GCP, Azure)
- Proven track record of technical leadership, including owning the architecture and reliability of production systems and mentoring other engineers
- Strong programming and scripting skills in Python, Go, or Java
- Production experience with Docker and Kubernetes
- Deep understanding of monitoring and observability tooling such as Prometheus, Grafana, Datadog, or the ELK Stack
- Experience with infrastructure as code using Terraform or CloudFormatio
- Experience with CI/CD tooling such as Jenkins, GitHub Actions, or ArgoCD
- Strong Linux system administration fundamentals
- Experience in a hybrid environment spanning cloud and on-premise data center infrastructure
- Experience supporting ML or AI inferencing services in production
- Familiarity with GPU-accelerated computing and optimizing workloads for NVIDIA GPUs, for purposes of mapping to RDUs
- Knowledge of model serving frameworks such as vLLM, SGLang, or Ray
- Experience managing and tuning databases (SQL or NoSQL) and caching systems such as Redis or Memcached
Base Salary Range:
Submission Guidelines
Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified.
EEO Policy
SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
Benefits Summary for US-Based, Full-Time Employment Positions
SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Skills Required
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience
- 3+ years of experience in Site Reliability Engineering, DevOps, or a related role supporting large-scale customer-facing services in public cloud environments
- Strong programming and scripting skills in Python, Go, or Java
- Production experience with Docker and Kubernetes
- Deep understanding of monitoring and observability tools such as Prometheus, Grafana, Datadog, or the ELK Stack
- Experience with infrastructure as code using Terraform or CloudFormation
- Experience with CI/CD tools such as Jenkins, GitHub Actions, or ArgoCD
- Strong Linux system administration fundamentals
- Experience in hybrid cloud and on-premises data center environments
- Experience supporting machine learning or AI inference services in production
- Familiarity with GPU-accelerated computing and NVIDIA GPU workload optimization
- Knowledge of model-serving frameworks such as vLLM, SGLang, or Ray
- Experience managing and tuning SQL or NoSQL databases and caching systems such as Redis or Memcached
What We Do
AI is changing the world and at SambaNova, we believe that you don’t need unlimited resources to take advantage of the most advanced, valuable AI capabilities - capabilities that are helping organizations explore the universe, find cures for cancer, and giving companies access to insights that provide a competitive edge. We deliver the world’s fastest and only complete AI solution for enterprises and governments with world-record inference performance and accuracy. Powered by the SambaNova SN40L Reconfigurable Dataflow Unit (RDU), organizations can build a technology backbone for the next decade of AI innovation with SambaNova Suite. Our fully integrated hardware-software system, DataScale®, enables organizations to train, fine-tune, and deploy the most demanding AI workloads using the largest and most challenging models. Most recently, with the launch of our newest offering, SambaNova Cloud, developers can supercharge AI-powered applications on Llama 3.2 models. SambaNova was founded in 2017 in Palo Alto, California, by a group of industry luminaries, business leaders, and world-class innovators who understand AI. Today, we’ve built an incredibly smart and motivated team dedicated to making a lasting impact on the industry and equipping our customers to thrive in the new era of AI.
Why Work With Us
As a talent first company, we aim to hire the greatest and most innovative minds in the industry- driving the next generation of AI computing where no barrier is too high and the possibilities are truly limitless. We encourage our peers to take risks and take the initiative to make a lasting impact on the AI and ML industries.
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