Lead AI Infrastructure Engineer
- Location
- Austin, TX
- Job type
- Full-time
- Level
- Lead / Staff
- Experience
- 5+ years
- Listed
- 30 days ago
Skills & highlights for this role
- C++
- PyTorch
- GPU performance optimization
- distributed systems
- multi-threaded programming
About the role
We're looking for a software engineer with a leadership mindset and deep ML infrastructure experience. You will decide and influence the ML infrastructure layer across the company. The biggest challenge we're facing at the moment is the effectiveness of GPU inference - both for onboard applications with near real-time guarantees and for offboard cases that target high throughput and deterministic execution. It is the first priority within this role.
What you'll do
- At first, you will take on the GPU inference framework, focusing on performance
- Later, the role assumes responsibility and ownership for broader ML infrastructure scattered across ML pipelines
- Close collaboration with the applied ML team responsible for defining the neural model's architecture
What you'll need
- Experience with PyTorch
- Understanding of how GPUs work
- Experience in diagnosing and resolving performance issues
- Strong record of building infrastructure including distributed systems
- 5+ years of experience with C++
- Programming experience in multi-threaded environments - multiple processes, threads, timers, and interrupts
- #LI-MS1
- Candidates are required to be authorized to work in the U.S. The employer is not offering relocation, sponsorship, and remote work options are not available.
About the Team
Our team is at the core of Avride's self-driving stack. We build the base infrastructure layer that powers all autopilot code. It includes a C++ framework for implementing autonomy components, execution graph building and optimization systems, as well as runtimes that execute those graphs, both onboard and in simulation.
The vast part of the execution graph is implemented as a chain of neural network operations. The onboard mode relies on stable latencies of the inference of those networks, while in simulation we also optimize throughput at scale.
Equal opportunity and legal notices
Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email.
From Avride's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
Where is the Lead AI Infrastructure Engineer job at Avride located?
This Lead AI Infrastructure Engineer position at Avride is located in Austin, TX. Always check Avride's application page for specific state eligibility or relocation policies.
What qualifications are required for Lead AI Infrastructure Engineer at Avride?
For the Lead AI Infrastructure Engineer role, Avride highlights 5+ years of relevant experience; experience with C++, PyTorch, GPU performance optimization, distributed systems, multi-threaded programming. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Lead AI Infrastructure Engineer position at Avride?
This listing links directly to Avride's Greenhouse application page. You can apply directly on Avride's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.