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Power Performance Engineer Jobs (NOW HIRING)

Sr Performance Engineer

Plano, TX · On-site

$60K - $135K/yr

Job Title: Sr Performance Engineer City: Plano State/Province: Texas Posting Start Date: 6/12/26 ... Join a business powered by purpose and a place that empowers you to design your own reinvention.

Support power generation project owners and developers for new thermal energy projects. * Perform ... Execute performance testing of new & existing thermal plants. * Participate in condition ...

Intersect develops, constructs, and operates the most ambitious power and data center ... Established relationships within the PV performance and engineering community, including ...

Description As a System Performance Engineer, you will play a critical role in ensuring the ... Experience with power and thermal management technologies and firmware. Proficiency in C/C++ and ...

Intersect develops, constructs, and operates the most ambitious power and data center ... Established relationships within the PV performance and engineering community, including ...

Tech Marketing & Performance Engineer Description - Tech Marketing and Performance Engineer Power the systems that power the world's most demanding work. The Tech Marketing and Performance Engineer ...

Tech Marketing & Performance Engineer Description - Tech Marketing and Performance Engineer Power the systems that power the world's most demanding work. The Tech Marketing and Performance Engineer ...

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Power Performance Engineer information

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How much do power performance engineer jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for power performance engineer in the United States is $60.11, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $68.03 per hour, depending on experience, location, and employer.
Infographic showing various Power Performance Engineer job openings in the United States as of June 2026, with employment types broken down into 58% Full Time, 39% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $125,019 per year, or $60.1 per hour.
Performance Engineer, GPU

Performance Engineer, GPU

Anthropic

San Francisco, CA

Other

Posted 3 days ago


Job description

About the role:

Pioneering the next generation of AI requires breakthrough innovations in GPU performance and systems engineering. As a GPU Performance Engineer, you'll architect and implement the foundational systems that power Claude and push the frontiers of what's possible with large language models. You'll be responsible for maximizing GPU utilization and performance at unprecedented scale, developing cutting-edge optimizations that directly enable new model capabilities and dramatically improve inference efficiency.

Working at the intersection of hardware and software, you'll implement state-of-the-art techniques from custom kernel development to distributed system architectures. Your work will span the entire stack-from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization.

Strong candidates will have a track record of delivering transformative GPU performance improvements in production ML systems and will be excited to shape the future of AI infrastructure alongside world-class researchers and engineers.

You might be a good fit if you:
  • Have deep experience with GPU programming and optimization at scale
  • Are impact-driven, passionate about delivering measurable performance breakthroughs
  • Can navigate complex systems from hardware interfaces to high-level ML frameworks
  • Enjoy collaborative problem-solving and pair programming
  • Want to work on state-of-the-art language models with real-world impact
  • Care about the societal impacts of your work
  • Thrive in ambiguous environments where you define the path forward
Strong candidates may also have experience with:
  • GPU Kernel Development: CUDA, Triton, CUTLASS, Flash Attention, tensor core optimization
  • ML Compilers & Frameworks: PyTorch/JAX internals, torch.compile, XLA, custom operators
  • Performance Engineering: Kernel fusion, memory bandwidth optimization, profiling with Nsight
  • Distributed Systems: NCCL, NVLink, collective communication, model parallelism
  • Low-Precision: INT8/FP8 quantization, mixed-precision techniques
  • Production Systems: Large-scale training infrastructure, fault tolerance, cluster orchestration
Representative projects:
  • Co-design attention mechanisms and algorithms for next-generation hardware architectures
  • Develop custom kernels for emerging quantization formats and mixed-precision techniques
  • Design distributed communication strategies for multi-node GPU clusters
  • Optimize end-to-end training and inference pipelines for frontier language models
  • Build performance modeling frameworks to predict and optimize GPU utilization
  • Implement kernel fusion strategies to minimize memory bandwidth bottlenecks
  • Create resilient systems for planet-scale distributed training infrastructure
  • Profile and eliminate performance bottlenecks in production serving infrastructure
  • Partner with hardware vendors to influence future accelerator capabilities and software stacks
 

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

The expected salary range for this position is: