Workload / Performance Model Lead (Austin)

About SiFiveAs the pioneers who introduced RISC-V to the world, SiFive is transforming the future of compute by bringing the limitless potential of RISC-V to the highest performance and most data-intensive applications in the world. SiFive’s unrivaled compute platforms are continuing to enable leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer. With SiFive, the future of RISC-V has no limits.At SiFive, we are always excited to connect with talented individuals, who are just as passionate about driving innovation and changing the world as we are. Our constant innovation and ongoing success is down to our amazing teams of incredibly talented people, who collaborate and support each other to come up with truly groundbreaking ideas and solutions. Solutions that will have a huge impact on people's lives; making the world a better place, one processor at a time. Are you ready? To learn more about SiFive’s phenomenal success and to see why we have won the GSA’s prestigious Most Respected Private Company Award (for the fourth time!), check out our website and Glassdoor pages.Job Description:The Role:SiFive, a leader in RISC-V CPU IPs, is looking for an experienced leader to lead benchmarking and performance infrastructure development. The candidate will be responsible for guiding the performance team to develop benchmarks for evaluating CPU / accelerator performance. The candidate will also be responsible for guiding the team to develop and deploy performance tools needed for architecture development / evaluation.Responsibilities:Identify, prepare (develop or port and setup), analyze performance for processor / accelerator development.Analyze performance bottlenecks in micro-architecture and software stack.Develop innovative methods to characterize workloads on simulators, emulators and/or hardware platforms.Develop performance projection methodology for complex workloads Develop and deploy efficient tools and infrastructure for performance evaluationRequirements:MS or PhD in Computer Science / Computer Architecture10+ years direct industry experience in performance simulation tools - from ISA to SoC / system simulators; from analytical to cycle-based models; from bare-metal environment to virtual machines. 5+ years involved in the engineering team to deliver HW or SW products.Strong foundation in computer architecture of high performance out-of-order CPU designs. Awareness of known industry micro-architectures is a plus.Strong foundation in workload characterization to identify HW/SW performance bottlenecksStrong foundation in workload reduction techniques for efficient performance simulation and projectionCompetency in software engineering best practices needed to maintain and refactor very large object oriented code bases.Strong object-oriented programming (OOP) skills, including encapsulation, class coherency, inheritance and polymorphismStrong Discrete Event Simulation (DES) competency, particularly with regard to DES modeling techniques and best practicesAbility to independently analyze performance bottlenecks in micro-architecture and software stack. Awareness of potential security holes is a plus.Desirable: Hands-on expertise with either HW development (RTL/implementation flows, verification/validation, backend flows, FPGA flows) or SW development (C/assembly, OS/RTOS, IDEs, Compiler/Debuggers). Desirable: FPGA debug, including the use of Integrated Logic Analyzer for waveform capture and debugDesirable: Familiar with git and branching/forking methodologies​If you want to do incredible work and be challenged by exciting, truly innovative projects that will test the boundaries of your skills and creativity, then SiFive is the place for you! Be proud of your work. Do things better. Join SiFive.Pay & BenefitsConsistent with SiFive values and applicable law, we provide the following information to promote pay transparency and equity. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline, and our compensation range reflects the cost of labor in the U.S. geographic market based on the location of the role. Pay within these ranges varies and depends on job-related knowledge, skills, and relevant work experience. For candidates who receive and offer, the starting salary will vary based on various factors including, but not limited to, such qualifications as, skill level, competencies, and work location. The range provided may represent a candidate range and may not reflect the full range for an individual tenured employee.Base Pay Range$231,444.00-$282,876.00In addition to base pay, this role may be eligible for variable/ incentive compensation and/ or equity. In addition, this role is eligible for a comprehensive, competitive benefits package which may include healthcare and retirement plans, paid time off, and more! Additional Information:This position requires a successful background and reference checks and satisfactory proof of your right to work inUnited States of AmericaAny offer of employment for this position is also contingent on the Company verifying that you are a authorized for access to export-controlled technology under applicable export control laws or, if you are not already authorized, our ability to successfully obtain any necessary export license(s) or other approvals.SiFive is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.As an E-Verify employer, we use this system to confirm the employment eligibility of all new hires in accordance with federal law. All applicants will be required to complete a Form I-9, Employment Eligibility Verification, upon hire. We do not use E-Verify to pre-screen job candidates and will comply with all E-Verify regulations.California residents: please see our job candidate notice for more information on how we handle your personal information and your privacy rights: Privacy Policy Document.SummaryLocation: Santa Clara, California, United States; Hsinchu, Taiwan; Austin, Texas, United States; Berkeley, California, United StatesType: Full time