System Software Engineer

NVIDIA is seeking an experienced full-stack engineer to compose, build, and monitor highly scalable distributed services that run on thousands of servers and complete millions of automated jobs daily.

Responsibilities

• Define system architecture and guide development decisions for complex engineering workflows, balancing scalability, reliability, cost, and delivery timelines.
• Lead reviews of system approaches and promote safe, incremental, low-risk rollouts of major infrastructure features across multiple teams.
• Set the strategy for CI/CD pipelines and release practices, enhancing build, test, and deployment speed and quality.
• Support the adoption of containerised services on Docker and Kubernetes, and advocate automation to reduce operational toil.
• Define the observability approach (monitoring, logging, alerting, SLOs) to detect issues early, reduce alert noise, and accelerate incident resolution.
• Lead root-cause analysis of complex production incidents and champion long-term reliability improvements.
• Mentor and grow senior and junior engineers, raise engineering standards, and work closely with teams and collaborators across time zones.

Requirements

• BS/MS in Computer Science, Engineering, or equivalent experience, with 5+ years building and operating large-scale backend or distributed systems.
• Deep Java expertise, including concurrency, performance tuning, and debugging complex production issues.
• History of crafting, scaling, and managing large-scale, highly available full-stack applications in production, including leading major architectural changes or migrations.
• Experience in working with Version Control Systems like Gitlab and Gerrit.
• Solid grounding in data structures, algorithms, distributed system development, and testing practices.
• Hands-on experience with relational databases (e.g., MySQL) and at least one NoSQL store (e.g., Elasticsearch, MongoDB, Cassandra).
• Experience with Docker and Kubernetes, along with infrastructure automation tools such as Ansible or Chef.
• Experience with one or more monitoring and observability tools (e.g., Prometheus, Grafana, Kibana, Splunk), with a focus on actionable alerts.
• Demonstrated technical leadership: mentoring engineers, influencing roadmaps, and driving cross-team initiatives.
• Strong communication skills and the ability to collaborate across teams and time zones.

Nice to Have

• Experience taking major infrastructure features from build through incremental production rollout.
• Ability to break complex problems into simple parts and reuse existing solutions.
• SRE approach: using logs and metrics to troubleshoot failures, define SLOs, and improve reliability.
• Experience designing full-stack applications that run well with minimal operational support.