NVIDIA
Senior Systems Software Engineer, AV Infrastructure - Validation and Distributed
NVIDIA, Myrtle Point, Oregon, United States, 97458
Why consider this opportunity
Base salary range up to $287,500 for Level 4 positions. Eligibility for equity and a comprehensive benefits package. Opportunity to work on cutting-edge technology in autonomous vehicles and AI. Collaborative environment with talented professionals in innovative fields. Chance to contribute to the next wave of validation and tooling for autonomous driving solutions. Commitment to diversity and equal opportunity employment. Responsibilities Deploy and operationalize vendor-provided platforms in a cloud-based service platform for validation. Build and maintain distributed infrastructure for large-scale log ingestion and data processing. Automate workflows and pipelines using Go, Python, Bash, and Bazel. Integrate simulation and drive logs with validation platforms for coverage analysis. Partner with internal teams and external vendors to troubleshoot issues and improve operational reliability.
Qualifications
BS/MS in Computer Science, Computer Engineering, or relevant field (or equivalent experience). 5+ years of professional experience in infrastructure, distributed systems, or platform engineering. Hands-on experience with Linux systems, Kubernetes/Docker, Terraform, and CI/CD pipelines. Strong scripting/development skills in Python, Bash, and exposure to C++ and/or GoLang. Familiarity with Bazel build/test automation frameworks.
Preferred Qualifications
Strong experience in large-scale distributed systems or GPU/CPU cluster deployments. Prior experience with scenario-based validation platforms or AV simulation ecosystems. Knowledge of logging/monitoring/alerting frameworks (Prometheus, Grafana, ELK stack). Experience working directly with external vendors to integrate platforms. Proactive use of AI/ML techniques to enhance log analysis and integration workflows.
#TechnologyJobs #AutonomousVehicles #AI #EngineeringCareers #DiversityInTech We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer. #J-18808-Ljbffr
Base salary range up to $287,500 for Level 4 positions. Eligibility for equity and a comprehensive benefits package. Opportunity to work on cutting-edge technology in autonomous vehicles and AI. Collaborative environment with talented professionals in innovative fields. Chance to contribute to the next wave of validation and tooling for autonomous driving solutions. Commitment to diversity and equal opportunity employment. Responsibilities Deploy and operationalize vendor-provided platforms in a cloud-based service platform for validation. Build and maintain distributed infrastructure for large-scale log ingestion and data processing. Automate workflows and pipelines using Go, Python, Bash, and Bazel. Integrate simulation and drive logs with validation platforms for coverage analysis. Partner with internal teams and external vendors to troubleshoot issues and improve operational reliability.
Qualifications
BS/MS in Computer Science, Computer Engineering, or relevant field (or equivalent experience). 5+ years of professional experience in infrastructure, distributed systems, or platform engineering. Hands-on experience with Linux systems, Kubernetes/Docker, Terraform, and CI/CD pipelines. Strong scripting/development skills in Python, Bash, and exposure to C++ and/or GoLang. Familiarity with Bazel build/test automation frameworks.
Preferred Qualifications
Strong experience in large-scale distributed systems or GPU/CPU cluster deployments. Prior experience with scenario-based validation platforms or AV simulation ecosystems. Knowledge of logging/monitoring/alerting frameworks (Prometheus, Grafana, ELK stack). Experience working directly with external vendors to integrate platforms. Proactive use of AI/ML techniques to enhance log analysis and integration workflows.
#TechnologyJobs #AutonomousVehicles #AI #EngineeringCareers #DiversityInTech We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer. #J-18808-Ljbffr