System Software Engineer – Performance

🔥 4 minutes ago

🏄 California, Colorado, +3 more states – Remote

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💵 $124k - $195.5k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 1%

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Logo of NVIDIA

NVIDIA

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Design, develop, test, and optimize software for next-generation SoCs in pre-silicon and post-silicon phases • Analyze and identify performance bottlenecks in the SoC • Prepare analysis documents and communications for internal and/or external audiences about NVIDIA technology • Conduct competitive analysis comparing microarchitecture and workload performance metrics on NVIDIA ARM SoCs against emerging processors from other silicon vendors • Develop tools and use benchmarks to analyze performance

🎯 Requirements

• BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience) • 2+ years of relevant computer architecture or SW development experience • Hands-on technical experience and demonstrated excellence in an environment with complex software and hardware designs • Strong understanding of multicore hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers and real-time programming • Experience in performance analysis, data analysis and performance optimization • Expertise in ARM architecture and SW ecosystem • Proficient in analyzing, debugging and tuning performance of complex system software stacks • Experience with CPU server system workloads and performance analysis • Familiarity with CUDA programming and/or GPUs • Experience with HPC or large-scale computing environments

🏖️ Benefits

• Comprehensive benefits package • Equity • Competitive salary

Apply Now

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