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Assistant Gpu Jobs (NOW HIRING)

Apple

GPU Design Verification Engineer

Orlando, FL · On-site

$127K - $155K/yr

... - Assist with architecting test benches.- Develop sophisticated stimulus components using ... Familiarity with GPU architecture - OpenGL, Vulkan, Metal.Able to share ideas and collaborate under ...

Radiant System, Inc

GPU Technical Support

Milpitas, CA

$42K - $53K/yr

... to assist with the setup, maintenance, and operation of our high-performance computing cluster ... Key Responsibilities Troubleshoot GPU/CPU servers, compute clusters, and networking (InfiniBand ...

Apple

GPU Design Verification Engineer

Orlando, FL · On-site

$127K - $155K/yr

... and assist with test plan creation. - Assist with architecting test benches. - Develop ... Familiarity with GPU architecture - OpenGL, Vulkan, Metal. Able to share ideas and collaborate ...

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Assistant Gpu information

What is the difference between Assistant Gpu vs Assistant Data Analyst?

AspectAssistant GpuAssistant Data Analyst
Required CredentialsAssociate degree or relevant certifications in GPU technology or IT supportAssociate degree or certifications in data analysis, statistics, or related fields
Work EnvironmentIT departments, hardware labs, tech companiesBusiness, finance, or tech companies focusing on data insights
Employer & Industry UsageTechnology firms, hardware manufacturers, gaming companiesFinancial institutions, marketing agencies, tech firms
Common Search & ComparisonYesYes

The Assistant Gpu and Assistant Data Analyst roles share similarities in required certifications and work environments, but they focus on different technical areas. The Assistant Gpu specializes in hardware and GPU technology support, while the Assistant Data Analyst concentrates on data interpretation and analysis. Both roles are essential in their respective industries and often searched together by professionals seeking technical support or entry-level positions in tech-related fields.

What cities are hiring for Assistant Gpu jobs? Cities with the most Assistant Gpu job openings:
What are the most commonly searched types of Gpu jobs? The most popular types of Gpu jobs are:
What states have the most Assistant Gpu jobs? States with the most job openings for Assistant Gpu jobs include:
Assistant Gpu jobs near you

Senior Software Engineer - C++ GPU Performance

Zoox

Seattle, WA

$159K/yr

Full-time

Posted 5 days ago

Job description

Zoox is building the world's most advanced self-driving hardware and software solution. The efficiency demands of such a system require an expert fine tuning of both the compute hardware architecture as well as the algorithms and middleware that runs on it to achieve maximum throughput at the most optimal power levels. 
 
The Software Performance team’s mission is to analyze, optimize and provide guidance to the software and hardware teams in order to meet the required specifications.   
 
As a GPU performance software engineer within the Software Performance team, you will instrument, monitor, analyze and optimize GPU-based algorithms that are performance-critical for our solution. The scope for GPU usage ranges from traditional computer vision and deep learning architectures to complex geometric reasoning and multi-agent decision making. Your work will strongly influence design decisions of future compute platforms & resource allocation.
In this role, you will:
  • Build real-time instrumentation for performance monitoring (CPU, GPU, latency, memory) and develop offline benchmarking frameworks, tools, and scripts to evaluate & analyze performance at scale in CI/vehicle, and establish budgets for next-gen architectures.
  • Analyze performance metrics to identify GPU hotspots and root causes, and propose and co-implement actionable solutions with component teams.
  • Support teams on bringing serial algorithms to the GPU to maximize compute utilization and improve overall latency.
  • Work as part of the Core team to design a middleware framework that promotes by default efficient and performant code development by maximizing CPU and GPU.
Qualifications
  • BS in computer science or related field and 7+ years of experience.
  • Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and experience debugging/optimizing GPU kernels using tools like Nsight.
  • Strong knowledge of C++ and experience in large code bases, comfortable in Linux development environments.
  • Experience in development, debugging, and profiling of complex multiprocess systems (e.g., robotic systems, game engines).
Bonus Qualifications
  • Experience with GPU kernel development in a real-time environment, including PTX-level programming, CPU SIMD instructions (e.g., AVX intrinsics), and custom CUDA layers with frameworks like TensorRT & XLA.
  • Hands-on work with ML model optimization (post-training quantization, layer pruning, etc) or hand-tuning GPU kernels (in OpenGL, CUDA, RocM or similar).
  • Proficiency with SQL, DataBricks, Looker, or other business intelligence tools.
Base Salary Range
 
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.