POSITION: Semiconductor Platform Development Engineer

LOCATION: Detroit, MI

RECRUITMENT RANGE:  $92,000 - $115,000 *

At JLR, we are passionate about our people. They are at the heart of our business. We are committed to fostering a diverse, inclusive culture that is representative of our global customers and the society in which we live; a culture in which every one of our employees can bring their authentic self to work and reach their full potential.

We are looking for a Semiconductor Performance Evaluation Engineer, with experience in chip virtual prototypes, performance modeling and prediction, and code optimization. This individual will be depended on for working on analytical and simulation models, and the state of art technologies to predict application, algorithm, OS and real time applications’ performance, hardware and software architecture and code optimization. This individual will also be utilizing, configuring, and evaluating industry leading performance evaluation benchmarks, and leading the efforts to develop custom benchmarks designed to provide performance measurements that will be used to compare compute-intensive workloads for various use cases and applications.

What you will be doing:

• Developing SystemC models for chip components to create virtual platforms to enable software development.
• Executing critical workloads for CPU, GPU, NPU, memory and other subsystems to perform integration, performance and power consumption tradeoffs.
• Tracing hardware metrics data on virtual models and embedded platforms to create performance/behavior models.
• Frequently collecting vital performance data from various software applications for detailed analysis, derive meaningful insights, and present findings in a scientific and graphical format that can be shared across multiple business units.
• Development of VirtIO to enable emulation platforms.
• Creating use cases/prototype models based on requirements.
• Integrating models and platforms using toolchains.
• Configuring and bring up complex software stacks and drivers on virtual models.
• Supporting teams with software bring up, identify issues, implement and deliver solutions.
• Developing representative benchmarks for critical workloads and capture key workloads for simulation on performance models.
• Identifying hardware and software performance bottlenecks, and work closely with the architecture, system, application development, and integration teams to identify root causes of software and integration issues and verify solutions.
• Running and analyzing workloads on simulators, and prototype devices as well as work on developing and automating performance analysis.
• Documenting results, lessons learned and identify areas of improvement and opportunities of growth
• Performing other duties as required

What you will need:

• BS in Electrical or Computer Engineering or similar.
• Solid understanding automotive design, and one or more of – CPU microarchitecture, automotive SW application development, performance evaluation, software integration, code and power optimization, code debugging and analysis.
• Excellent understanding of industry leading performance analysis tools and strong Linux administrative skills.
• Experienced in programming in one or more of C, C++, System C, Python, Verilog, VHDL etc.
• Experience with creating virtual models for chip, porting software, debug issues, validation and verification of virtual environment.
• Experience in integration various semiconductor IP models to creating virtual platform.
• Experience in chip design porting on emulator, prototype solution, creating test bench.
• Strong understanding of RTOS, AUTOSAR, Linux, QNX, and experienced in software integration with AUTOSAR, RTOS, BSP.
• Understanding of bare metal environment for software development.
• Analysis/debug tools such as TRACE32, Momentics, PyPAPI, Linux Kernel Utility, ARM PMU, and also ONNX, PyTorch, TensorFlow.
• Familiar with MCU/SoC development boards bring-up and software execution.
• Understanding of various system drivers’ usage, memory, ethernet, IO, PCIe, IPC.
• Strong understanding of CPU, GPU and NPU architectures, GPU API such as Vulkan, Open GL/CL.

Qualifications – Preferred

• Master’s degree in electrical or computer engineering or similar.
• Prior experience in IP evaluation, workload analysis, semiconductor performance evaluation, microarchitecture optimization, chip HW/SW integration/validation

Schedule: Hybrid Ways of Working  - 3 office days and 2 choice days

Base pay offered may vary depending on multiple individualized components, including location, skills, experience, and market factors. The total compensation package for this position may also include other elements, including a target bonus in addition to a full range of medical/health, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick/personal, and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an “at-will position”.

So Why Us?

• As a people-first company, working at JLR means opportunity, teamwork, and growth. That’s why working here is so much more than a job. 
• Be part of an international, inclusive, and open-minded company 
• Global Bonus Program based on company performance 
• You are never just a number. We take pride in taking care of our employees doing everything we can to make sure that our teammates thrive both in and out of the office.
• Our employees receive a generous time off policy 
• We offer a discounted Luxury Vehicle Car Program 
• Employees also receive generous health care and retirement plans
• Maternity/Paternity Leave
• And more!

    Thank you for your interest in working for us, we love it here and think you will too!

     Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

     JLR North America, LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, compensation, and training.

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