REGISTRIEREN

Jobbörse

Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.
  • Ähnliche Jobs zu: Performance Architect - AI Hardware
XX
Performance Architect - AI HardwareTEEMA • United States
Jetzt Bewerben
XX

Performance Architect - AI Hardware

TEEMA
  • US
    United States
  • US
    United States
Jetzt Bewerben

Über

Get AI-powered advice on this job and more exclusive features.
Performance Architect – AI Workload Modeling & System Optimization
Location:
U.S. or Canada (Remote-Friendly)
Employment Type:
Full-Time
Help Build What Could Be the Fastest AI Chip on the Planet
Join a stealth-mode team of semiconductor veterans, architecture experts, and systems engineers creating a custom AI processor that’s already demonstrating performance beyond whats currently on the market. Think: better than Qualcomm, faster than NVIDIA—and youre helping shape the heart of it.
This is not just another accelerator. It’s a radical rethinking of how AI workloads are run at the silicon level—and we’re looking for an
AI Performance Architect
to bridge the gap between neural networks and the hardware designed to run them.
The Role
You’ll develop the frameworks and tools to simulate, analyze, and optimize how real-world AI models perform on our custom architecture. This role requires a deep understanding of how AI workloads behave—from operations to memory to execution flow—and how to map that behavior into performance models that guide architecture and compiler development.
You’ll be the architect of performance insight, helping us understand how every NN op interacts with our chip and how we can make it faster, leaner, and smarter.
What You’ll Do
Build system-level performance models for AI/ML workloads using tools like C++, Python, and spreadsheets
Analyze model execution flow and map neural network operations to custom hardware components
Develop tools and automation to evaluate system performance across real workloads
Translate architecture into performance estimates and optimization strategies
Collaborate closely with HW architects, compiler engineers, and software teams to fine-tune the HW/SW stack
Identify and address bottlenecks by simulating data movement, memory usage, and compute behavior
Provide feedback loops to architecture and compiler design based on measured or modeled results
What You Bring
Deep understanding of
neural network operations
and
AI workload behavior
Strong foundation in
computer architecture , SoCs, and memory hierarchies
Experience building
performance models
or simulation frameworks
Proficiency in
Python ,
C++ , and/or spreadsheet-based modeling
Familiarity with
compiler mapping , HW constraints, and architecture exploration
Ability to think systematically—from high-level AI models to low-level execution details
Bonus Points For:
Prior work mapping AI models into custom hardware or accelerators
Experience working with architecture simulators or co-design tools
Hands-on involvement in early-stage hardware-software optimization projects
Why This Team?
Because they’re not following trends—they’re setting them.
Because the product already crushes benchmarks before hitting the market.
Because the team is smart, humble, and hell-bent on changing what AI compute can be.
And because being part of something this big, this early, only happens once or twice in a career.
Ready to Map the Future of AI Compute?
Apply now to shape the performance layer of one of the most ambitious AI hardware platforms being built today.
#J-18808-Ljbffr
  • United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.

Jobbörse: 1'753 Jobs in deiner Nähe – vor Ort, hybrid oder remote