Job Description
Company Description
At Renesas, we are more than just a semiconductor company; we are the engine behind a "safer, smarter, and more sustainable" future. Headquartered locally in the heart of San Jose, our Silicon Valley team is at the forefront of innovation in Automotive, Industrial, Infrastructure, and IoT technologies. By blending cutting-edge embedded processing with world-class analog and power expertise, we develop "Winning Combinations" that power billions of intelligent devices globally. Joining our San Jose office means joining a collaborative, forward-thinking environment where your work directly impacts the next generation of AI-driven infrastructure and green energy solutions.
Job DescriptionWe are seeking a Senior Benchmarking Engineer to establish and lead our benchmarking and competitive analysis program in Austin. This role will drive interface benchmarking as well as comprehensive solution-level benchmarking covering industrial networking, latency, bandwidth, graphics performance, and AI workloads. The insights generated by this role will directly inform product positioning, roadmap decisions, and customer engagements against competing silicon solutions.
Key Responsibilities
Design and execute systematic benchmarking programs comparing Renesas solutions against competitor platforms
Develop standardized, repeatable, and defensible benchmark methodologies for fair cross-vendor comparisons
Conduct interface benchmarking across key connectivity standards (Ethernet, PCIe, USB, DDR memory interfaces, serial interfaces, etc.)
Perform solution-level benchmarking across application domains:
Industrial Networking: TSN, PROFINET, EtherCAT, Modbus, OPC UA throughput and determinism
Latency & Bandwidth: Real-time interrupt latency, memory bandwidth, network throughput characterization
Graphics Performance: GPU/rendering benchmarks, display pipeline, OpenGL/Vulkan workloads
AI Benchmarks: NPU/DSP/CPU inference performance (MLPerf, common ML models, energy efficiency)
Build automated benchmark frameworks and test harnesses to enable continuous regression tracking
Author detailed competitive analysis reports and present findings to engineering leadership, product management, and sales teams
Support customer-facing activities by providing objective performance data and demonstrations
Stay current with industry-standard benchmarks and emerging workload requirements
Collaborate with architecture and marketing teams to translate benchmark insights into product requirements
Collaborate with architecture and marketing teams to translate benchmark insights into product requirements
Bachelor's or Master's degree in Computer Science, Computer Engineering, or Electrical Engineering
7+ years of experience in embedded systems performance analysis, benchmarking, or competitive analysis roles in the semiconductor industry
Demonstrated experience designing and executing rigorous, reproducible benchmark campaigns
Technical Skills and Benchmarking Domains
Industrial communication protocols (TSN, EtherCAT, PROFINET, CAN-FD)
Network latency and bandwidth measurement methodology (RFC 2544-style testing, packet generators)
Graphics/compute APIs and profiling (OpenGL ES, Vulkan, OpenCL, OpenGL)
Standard industry suites: SPEC, CoreMark, Dhrystone, LMbench, GLMark, LuxMark, Stream
Measurement & Analysis
Proficiency with performance profiling tools
Oscilloscope, logic analyzer, and protocol analyzer usage for interface characterization
Statistical rigor: variance analysis, confidence intervals, controlled A/B comparisons
Automation via Python scripting for test orchestration and data analysis
Systems Background
Embedded Linux and RTOS administration and configuration (Yocto, buildroot, FreeRTOS, Zephyr)
ARM/RISC-V architecture expertise, including SIMD vector extensions (NEON, RVV)
Solid understanding of cache hierarchy, DMA, and SoC data-path architecture
Competitor ecosystem familiarity (TI Sitara/AM-series, NXP i.MX, ST, Microchip) a strong plus
Preferred Qualifications
Experience publishing or contributing to industry benchmark standards (EEMBC, MLPerf)
AI/ML inference benchmarking (MLPerf, ONNX Runtime, TensorFlow Lite, CMSIS-NN)
Prior experience in a competitive analysis or product marketing technical role
Background supporting sales teams with technical due diligence against competitors
Experience with hardware emulation or early silicon bring-up for pre-silicon benchmarking
Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier . With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world‑leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future.
At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.
We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.
Are you ready to join our team and shape the future with us?
Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.
Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.
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