Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Design, build, and operate core cloud-native infrastructure services for NVIDIA DGX Cloud. Develop scalable, secure microservices and automation for provisioning and lifecycle management, integrate internal and external platforms, and implement observability and security to ensure reliable, global production operations.

Design, develop, test, and optimize system software for next-generation ARM-based SoCs across pre- and post-silicon phases. Analyze architectural bottlenecks, workload performance, and performance-per-watt tradeoffs; develop hardware/software policies and optimization strategies. Lead performance analysis, competitive benchmarking, architecture documentation, and adoption of improvements across NVIDIA software products and open-source SDKs.

Develop and maintain reliable, secure, and high-performance GPU cluster infrastructure for AI researchers. Design solutions for cluster validation, monitoring, operations, reliability, and performance at scale. Research and apply AIOps and Agentic AI to reduce operational toil, support self-service improvements, and participate in on-call operations. The role also involves software development on Linux, container orchestration, automated deployments, and potentially full-stack platform development and Slurm scheduling.

Build and scale deep learning infrastructure for autonomous vehicle models across multi-thousand-GPU clusters. Develop distributed training frameworks, data pipelines, orchestration libraries, monitoring, and fault-resilient systems for massive video datasets. Optimize training efficiency, availability, and developer productivity while collaborating with researchers, model engineers, platform teams, and leadership. The role requires extensive distributed systems, ML infrastructure, networking, storage, scheduling, Python, and C++ expertise.

Lead engineering team to develop AIPerf, an open-source benchmarking tool for LLM inference performance, while overseeing technical direction and mentoring engineers.

The Senior System Software Architect will design, validate, and create enterprise AI factory architectures, collaborating with various teams to optimize deployment strategies and systems performance across compute, storage, and networking infrastructures.

Build and maintain network automation and orchestration software for NVIDIA GPU Cloud and SuperPod deployments. Design/configure centralized configuration management, integrate cloud provider APIs, implement data pipelines and streaming telemetry, and automate lifecycle operations from procurement to deployment. Collaborate with infrastructure experts to deliver zero-touch, production-grade network provisioning, monitoring, and management tools.

Leads a distributed team securing NVIDIA DGX Cloud’s large-scale GPU infrastructure. Responsibilities include hiring and developing engineers, setting strategy for security control planes and foundational services, delivering measurable risk reduction, maintaining engineering standards, communicating security risks to executives, and collaborating with platform, SRE, networking, and security teams. The role requires strong engineering management, infrastructure or security expertise, cloud-native fluency, and influence across partner organizations.

Serve as a trusted technical advisor to NVIDIA Cloud Partners to design, integrate, and deploy large-scale GPU AI/HPC cloud infrastructure. Lead PoCs and production deployments of models, frameworks, and software stacks, run technical workshops and presentations, collaborate with sales, engineering, and product teams, and drive customer adoption and consumption.

The Senior Formal Verification Engineer will verify sophisticated ASIC builds using formal methods, collaborate with architecture teams, develop verification environments, and support silicon debug.