SoC Performance Architect
About The Position
The Stellantis Hardware Engineering organization is responsible for developing advanced hardware platforms across 14 vehicle brands. Within this framework, the Semiconductor Engineering group establishes product and technology selection criteria for critical semiconductor components in collaboration with silicon suppliers, partners, and cross-functional teams, including software, hardware, and system architects. We are looking for an experienced SoC Performance Architect with strong expertise in System-on-Chip (SoC) or Multiprocessor Unit (MPU) performance analysis and workload correlation.
Requirements
- Bachelor's degree in Electrical Engineering, Computer Engineering or related field
- 8 years relevant experience
- Strong understanding of computer architecture fundamentals
- Proficient with system performance modeling and simulation analysis
- Successful first-pass SoC or MPU development record
Nice To Haves
- Master's degree
- Automotive or Industrial experience
- Direct work with ARM 32/64-bit, power management, high-speed interfaces, memory, video/audio
- Experience with memory controller designs for LPDDR5, DDR5, LPDDR6
- Strong background in building fast, accurate SoC performance models
- Strong understanding of embedded electronics design constraints
- Strong analytical and conceptual thinking with a track record of innovation
- Excellent communication skills and the ability to collaborate effectively across global, multi-disciplinary teams.
- Passion for architecting SoC or MPU solutions that redefine performance and efficiency in embedded computing
Responsibilities
- Lead MPU and SoC performance pathfinding, modeling, simulations, and projections for current and future platforms.
- Develop system-level models to evaluate and optimize performance (throughput, latency, QoS, power) across multiple design options.
- Collaborate cross-functionally with hardware, firmware, and validation organizations to ensure end-to-end product quality, performance, and reliability.
- Generate workloads for target applications and optimize these workloads within hardware constraints
- Drive performance metrics and analysis for central compute ECU workloads
- Conduct theoretical analysis and return on investment of new features or proof of concept
- Manages Neural Network benchmark criteria and competitive analysis
- Work with SoC Architect and software teams to optimize hardware for system workloads within performance, power, reliability, and cost constraints.
- Support SoC microarchitecture definition and specifications
- Support hardware engineering in design, system architecture, and ECU development phases.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
