Post Silicon Validation Engineer
GroqSalary not specified
- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors, Hardware, Embedded SystemsIndustries
Requirements
Candidates must possess a Bachelor’s or Master’s degree in Computer Engineering or Computer Science, or an equivalent level of experience. They should demonstrate a strong understanding of ARM microarchitecture, including ARM exception levels, and have experience solving complex problems related to large, complex systems deployed at scale. Candidates are expected to have proficiency in C/C++ and Python programming, along with initiative in independent coding projects, and a good understanding of ACPI and Device Tree concepts. Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals is also required, as well as experience with debuggers like GDB and WinDBG, and compilers such as GCC, MSVC, and LLVM.
Responsibilities
As a Senior System Software Engineer, you will be responsible for developing and triaging platform drivers integrated into System on Chips (SoCs). This includes building sophisticated automation triage tools, isolating issues for firmware and operating system drivers, and supporting OS driver development, bring-up, and triaging. You will also provide support to the OEM ecosystem, offering innovative solutions and assisting with Boot KPIs, Security, and OS drivers. Furthermore, you will be involved in supporting various ecosystems and verticals, following devices through from pre-silicon to production, and collaborating on architecture definition and early modeling, including simulation, to create groundbreaking products. Finally, you will actively participate in communication and collaboration with global teams.
Skills
ARM microarchitecture
ARM exception levels
Large complex systems
Driver testing and validation
C
C++
Python
ACPI
Device tree
Computer system architecture
Microprocessor
Microcontroller fundamentals
Caches
Buses
Memory controllers
DMA
Operating systems fundamentals
Kernel
Hypervisor
Windows
Linux
Debuggers (GDB, WinDBG)
Compilers (GCC, MSVC, LLVM)
SOC architecture
Boot
Security
NVIDIA
Designs GPUs and AI computing solutions
About NVIDIA
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.
Key Metrics
Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees