About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The opportunity: Flexport is looking for a creative, technically-minded Senior Data Scientist who is excited about solving challenging problems in fulfillment and logistics. We provide ecommerce merchants a full range of "factory to door" logistics solutions. This role focuses on building automated decision-making processes that ensure that we meet or exceed the expectations of our merchants for fulfillment speed and reliability, while growing the network in a cost-efficient way. Data is at the heart of our business, and as a Data Scientist, you will develop first-in-class science products to make fulfillment easy and efficient for our merchants. In collaboration with multidisciplinary product, engineering, and business/operations teams, you will apply advanced Operations Research (OR) and Machine Learning (ML) methods to deliver data-driven insights and automated decision-making solutions in Flexport’s fulfillment products. Our business, product, and engineering teams collaborate closely with our Data Scientists to share domain knowledge, test hypotheses at scale, and develop promising solutions that can be quickly and widely deployed. We are passionate about prov
Senior Silicon Validation Methodology Engineer - Low Power
Salary not disclosed
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Role overview
Job description
NVIDIA Silicon Co-Design Group (SCG) is a wide-ranging, multi-functional team at NVIDIA. We sit at the crossroads of design, architecture, marketing, operations, and productization. Our contributions span from the architecture stage through final product definition. We architect solutions for Datacenter, Server, Gaming, Robotics, Automotive, and Embedded markets. We are fast-paced, collaborative, and focused on making groundbreaking, impactful products. We are seeking a Senior Silicon Validation Methodology Engineer for Low-Power (LPWR). You will own the department LPWR validation methodology across GPU, SoC, and CPU, from architecture to silicon to product.
What you'll be doing:
- Own architecture, design, and first-use of end-to-end LPWR validation methodology from silicon to product, covering corners, edge conditions, variability, and real-world scenarios. Set the department standard for LPWR validation so it is reused across a broad array of silicon products.
- Define what needs to be tested, why, and how — including coverage bounds, PVT/variability, test-time vs. schedule, signoff criteria, milestone playbooks, and SOL(speed of light) expectations.
- Invent and land new LPWR validation approaches that go beyond extending an existing test plan. Challenge current paradigms on performance, power, idle vs. active behavior, and corner-case coverage, and drive the resulting methods, tools, and metrics into org default practice.
- Set LPWR validation strategy and policy across teams, including long-lead items that outlive a single execution cycle. Translate architecture and product goals into multi-generation methodology, infrastructure, and tool investments.
- Drive cross-functional consensus with Architecture, Design, Firmware, and Software under conflicting PPA, coverage, latency, and schedule priorities.
- Improve validation workflow at department scale by building and adopting automation, coverage metrics, pre-silicon to post-silicon correlation, and AI-enabled analysis. Fold learnings back into methodology, spec, and design.
What we need to see:
- A Master's or Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent experience.
- 8+ years of hands-on silicon validation methodology experience, with deep ownership of low-power architecture and design (idle power, power gating, clocking, DVFS, and related features) and silicon features tied to current energy-efficient design.
- Proven record of creating new LPWR validation methods, tools, or signoff criteria that were adopted across multiple products or teams.
- Expert debug of silicon LPWR issues, and the ability to deconstruct ambiguous failures into simpler, reusable validation and corrective approaches that raise quality and efficiency for the org.
- Demonstrated strong ability to set validation strategy under hard trade-offs: functionality vs. performance/power, latency vs. coverage, and coverage vs. schedule.
- Strong collaboration skills and Proven track record of influencing and leading cross-functional/group(design, Board, FW, SW) consensus through product launches in low-power domains.
- Strong AI-enabled skills and thinking — use AI to accelerate analysis, exploration, and documentation while maintaining rigor, originality, and judgment that do not come from AI.
Ways to stand out from the crowd:
- Set LPWR or power-management validation policy, playbooks, or signoff bars that other teams ran without you in the critical path.
- Have shipped methodology reuse across multiple chips, SKUs, or platforms, with measurable impact such as higher coverage, fewer debug loops, lower SOL, or faster bring-up.
If you are energized by owning a domain, setting the bar for others, and turning low-power silicon expertise into reusable methodology at NVIDIA scale, we'd love to talk to you.
What they are looking for
Skills & requirements
Qualification
What we need to see: A Master's or Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent experience
Hiring company
NVIDIA
We create the world’s fastest supercomputer and largest gaming platform.
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