Job overview:

We are seeking an experienced Advanced Compute Systems Specialist to lead and optimize a heterogeneous compute environment supporting a large Sun Grid Engine (SGE) cluster and several smaller developer systems. This infrastructure underpins critical FPGA build and verification workflows, supporting engineering teams across multiple projects and toolchains. You will own the compute platform end-to-end—from evaluating new server architectures and storage technologies to ensure reliable daily production builds—establishing a cohesive, high-performing environment tailored to the needs of FPGA development. This role is central to ensuring that the compute ecosystem delivers consistent capability, reliability, and scalability, providing engineers with a dependable foundation for complex FPGA builds and verification. You will champion benchmarking, performance optimization, lifecycle management, and infrastructure administration, offloading these responsibilities from engineers and management. Through proactive measurement, reuse strategies, and long-term planning, you will drive sustained improvements in capability and reliability as FPGA build demands evolve.

Who you report to: Senior Director, R&D Operations

What we offer:

Ross offers competitive salaries, comprehensive health plans, and several perks to help you perform at your best. Some of these perks include flexible hours, generous paid time off, fitness/wellness allowance, an employee share ownership program, development support, and a ton of fun social activities and events! Best of all, you will be part of the Ross Video family, and we've got an energizing environment here.

What the job is all about:

Performance Optimization & Benchmarking

• Serve as the performance and capability owner for the FPGA compute infrastructure.
• Develop and execute comprehensive benchmarking plans for new server architectures, CPUs, memory technologies, and storage systems.
• Establish and maintain standardized performance metrics and baselines across all compute assets.
• Develop reuse and progression plans for older hardware, balancing modernization with sustainability and cost efficiency.
• Present clear performance insights, recommendations, and projections to engineering and management leadership.

Cluster & System Administration

• Administer and maintain a large Sun Grid Engine (SGE) cluster and multiple smaller developer systems used for FPGA and software build workloads.
• Manage system configurations, software environments, and job scheduling to ensure predictable and repeatable build results.
• Monitor and maintain system health, uptime, and reliability across the entire compute estate.
• Ensure system and software consistency across developer and cluster systems.
• Perform deep diagnostics to identify root causes of complex build, runtime, or performance failures.

FPGA Build Flow Integration

• Support and optimize FPGA build flows using industry-standard toolchains (e.g., Xilinx Vivado, Intel Quartus, Synopsys, Cadence).
• Work closely with FPGA and EDA engineers to ensure the build environment meets evolving project requirements.

Cloud & Hybrid Compute Enablement

• Design and deploy hybrid compute workflows that extend FPGA build capabilities into cloud environments (AWS, Azure, GCP).
• Evaluate cloud compute options for cost, scalability, and integration with on-premises systems.

Enterprise Storage & I/O Optimization

• Manage and optimize enterprise disk arrays and high-performance storage systems for ultra-low-latency disk access and high data throughput.
• Benchmark I/O subsystems and integrate storage improvements that benefit FPGA build runtimes.

Who you are:

• Education: Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field (or equivalent experience).
• Experience: 6+ years managing and optimizing Linux-based compute infrastructures supporting build, simulation, or HPC workloads.

Technical Expertise:

• Deep understanding of Linux internals, kernel tuning, and system performance profiling.
• Proven experience administering Sun Grid Engine (SGE) or similar schedulers (Slurm, LSF, PBS).
• Experience supporting FPGA build flows and EDA tools such as Vivado, Quartus, Synopsys, or Cadence.
• Expertise in hardware benchmarking (CPU, memory, network, and I/O).
• Strong knowledge of enterprise storage architectures (NVMe, RAID, SAN/NAS, parallel file systems).
• Familiarity with cloud compute architectures and hybrid deployment models.
• Exceptional debugging, problem-solving, and system analysis skills.

Bonus points if you have the following:

• Experience with infrastructure automation tools (Ansible, Puppet, Terraform).
• Scripting proficiency in Python, Bash, or similar languages.
• Familiarity with CI/CD systems (Jenkins, GitLab CI) and automated build pipelines.
• Understanding of network performance tuning and distributed computing optimization.