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Heterogeneous Jobs (NOW HIRING)

The ideal candidate should have a strong background working with heterogeneous multi-core RISC-V or ARM processors (e.g., Cortex-R5, Cortex-A53), excel in C/C++ and Python programming languages, and ...

The ideal candidate should have a strong background working with heterogeneous multi-core RISC-V or ARM processors (e.g., Cortex-R5, Cortex-A53), excel in C/C++ and Python programming languages, and ...

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Heterogeneous information

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$12

$20

$25

How much do heterogeneous jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for heterogeneous in the United States is $20.98, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $22.12 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Heterogeneous, and why are they important?

I'm sorry, but 'Heterogeneous' is not a recognized real-world professional occupation, so I cannot provide a relevant response.

What are some common challenges faced when working as a Heterogeneous Systems Engineer, and how can they be addressed?

As a Heterogeneous Systems Engineer, one of the main challenges is integrating diverse hardware components—such as CPUs, GPUs, and FPGAs—into a seamless computing environment. This often involves troubleshooting compatibility issues, optimizing system performance, and managing communication between different architectures. Collaborating with cross-functional teams, staying updated on emerging technologies, and leveraging industry-standard frameworks can help address these challenges. Regularly testing and profiling systems also play a crucial role in ensuring reliability and efficiency.

What are Heterogeneous jobs?

Heterogeneous jobs refer to positions or tasks that involve working with diverse systems, technologies, or components that are different in nature. In computing and engineering, this often means managing or integrating hardware or software from various platforms, architectures, or vendors. These roles require adaptability and a deep understanding of how different systems can communicate and function together efficiently. Heterogeneous jobs are common in environments where interoperability and system integration are crucial for business operations.

What is the difference between Heterogeneous vs Network Engineer?

AspectHeterogeneousNetwork Engineer
Required credentialsVaries widely, often includes certifications in multiple disciplinesTypically Cisco, CompTIA, or similar networking certifications
Work environmentMultidisciplinary, involving various technologies and systemsPrimarily networking hardware and software in IT infrastructure
Employer and industry usageUsed across diverse industries requiring multidisciplinary skillsCommon in IT, telecommunications, and enterprise networks
Search and comparison intentUnderstanding multidisciplinary roles and skillsFocusing on networking-specific skills and certifications

Heterogeneous refers to a broad, multidisciplinary role involving various technologies, while a Network Engineer specializes in designing, implementing, and maintaining network systems. The key difference lies in scope: Heterogeneous roles encompass multiple disciplines, whereas Network Engineers focus specifically on networking infrastructure.

More about Heterogeneous jobs
What states have the most Heterogeneous jobs? States with the most job openings for Heterogeneous jobs include:
What job categories do people searching Heterogeneous jobs look for? The top searched job categories for Heterogeneous jobs are:
Infographic showing various Heterogeneous job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $43,637 per year, or $21 per hour.
Senior Performance Architect - Heterogeneous Workload Optimization

Senior Performance Architect - Heterogeneous Workload Optimization

Nvidia

Santa Clara, CA • Hybrid

$196.10K/yr

Full-time

Posted 20 days ago


Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

As EDA workloads transition from traditional CPU-bound tasks to massively parallel GPU-accelerated engines, the complexity of identifying bottlenecks has scaled exponentially. We are seeking a Senior Systems Performance Engineer to build our next generation of profiling infrastructure. You will be responsible for measuring, analyzing, and optimizing the interaction between extensive design graphs in system memory and high-throughput kernels on the GPU. Join us to push the boundaries of what's possible in the future of computing!

What you'll be doing:

  • Architecting and maintaining custom profiling frameworks that provide a unified view of execution across CPU (multi-core/multi-socket) and GPU (multi-node/NVLink) environments.

  • Conducting deep-dive benchmarking of EDA applications to characterize memory access patterns, cache hit rates, and instruction-level parallelism.

  • Using GPU profilers to detect GPU-side inefficiencies such as warp divergence, sub-optimal occupancy, and PCIe/NVLink bottlenecks.

  • Developing tools to monitor and attribute high-watermark memory usage in multi-terabyte EDA builds, finding opportunities for data structure compression or smarter memory pooling.

  • Developing predictive models to guide hardware procurement and cloud instance selection based on built gate-count and algorithmic complexity.

What we need to see:

  • A grasp of the CUDA programming model and experience employing GPU profiling tools like NVIDIA Nsight Systems/Compute to address PCIe bottlenecks and kernel stalls.

  • Extensive knowledge of profiling tools such as perf, eBPF, VTune, or Valgrind, along with insight into their internal mechanisms.

  • A passion for meticulous benchmarking and the ability to distill sophisticated performance data into actionable engineering roadmaps.

  • Experience with distributed compute environments (Slurm, LSF, or Kubernetes).

  • A BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field (or equivalent experience) with more than 8+yrs of relevent experience and at least 5 years involved in systems-level performance analysis.

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you!

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 16, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993