Explore AI roles

Keyboard friendly • Copy, share & save roles

Sort by

C++ Software Engineer - GPU Performance Foster City, CA / Seattle, WA / Boston, MA / San Diego, CA Software – C++ Sof...

Gpu Cuda Ai C

$168k - $239k · Senior Fully remote

Apply

Who We Are:Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with ou...

Ai Engineer Cuda Gpu

$104k - $115k* · Senior Fully remote

Apply

Who We Are At OKX, we believe the future will be reshaped by technology. Founded in 2017, we are revolutionising worl...

Quantitative Quantitative Trader Trader Blockchain

$105k - $150k* · Senior Fully remote

Apply

The AI Hardware Engineer is an exciting opportunity for a motivated and passionate individual to join the team at Fou...

Ai Engineer Hardware Blockchain

$70k - $140k · Senior Fully remote

Apply

Hardware Security Engineer – Side Channel Paris, France Tech – Security & Innovation / Permanent contract / CDI / Hyb...

Dev Hardware Security Crypto

$45k - $62k* · Senior Fully remote

Apply

Senior Python Developer Los Angeles / Engineering - Plai App / Full Time / Remote Apply for this job Plai Labs is sea...

Dev Python Senior Aws

$81k - $100k* · Senior Fully remote

Apply

LATOKEN is a crypto exchange leading startup tokens market with 250+ primary placements and 1000+ assets.Our active u...

Kyc Dev Remote Computer Science

$30k* · Senior Fully remote

Apply

About Figure Figure is transforming the trillion dollar financial services industry using blockchain technology. In ...

Dev Machine Learning Executive Computer Science

$401k* · Senior Fully remote

Apply

About Figure Figure is transforming the trillion dollar financial services industry using blockchain technology. In ...

Dev Machine Learning Computer Science Ci Cd

$98k - $156k* · Senior Fully remote

Apply

Selected role

C++ Software Engineer GPU Permance

Zoox Seattle, WA

Live

$168k - $239k · Senior Full-time Posted 21 days ago 3 min read

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 3+ 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.

$168,000 - $239,000 a year

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

Ready to apply? You'll go straight to the hiring team.

No agency in the middle · Your profile is shared privately.

Explore the complete AI ecosystem

Discover the best AI-first companies, podcasts, events, learning paths, and jobs in one focused hub.

AI Learning Hub · Always curated, never noisy

Simple pricing for serious AI hiring

Pay per listing. No subscriptions, no hidden fees. Designed for teams hiring for high-impact AI roles.

No-risk: replace or refund if the role doesn’t get traction.

Standard listing

Reach active AI talent

For startups

$349 per role

30-day live listing in the AI job feed.
Structured posting written for AI engineers (we’ll help refine copy).
Instant alerts to subscribed candidates for your tags (LLMs, agents, infra, etc.).

Most teams see first applicants within 24–48 hours.

Max visibility to senior talent

For scale-ups

$649 per role

Everything in Standard, plus homepage & “Featured role” placement.
Priority placement in weekly AI roles newsletter.
1:1 review of your role with DevFound to calibrate for top-tier candidates.
Highlight badge on job page to increase conversion.

Best for teams hiring 1–3 critical AI roles this quarter.

CUDA Jobs

Explore AI roles

C++ Software Engineer GPU Permance

AI Engineer

Quantitative Trader Exotics Quant

AI Hardware Engineer

Hardware Security Engineer – Side Channel

Senior Python Developer

KYC Developer

Principal Machine Learning Engineer

Machine Learning Engineer

Explore the complete AI ecosystem

Choose Your Plan

Simple pricing for serious AI hiring

Reach active AI talent

Max visibility to senior talent