Avride

Avride

Lead AI Infrastructure Engineer

Austin, Texas · Senior

Sponsorship not specifiedDetected 14 days ago
C++Distributed SystemsMachine LearningPyTorchLeadershipCollaboration

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 10 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 88%

Of 8 labor certifications old enough to have been used, 1 expired without the employer filing the next step. Median time from filing to decision: 459 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

DOL often reclassifies their job titles

The Department of Labor assigned a different occupation than this employer requested on 79% of its 19 wage determinations — against a 18% norm. The occupation sets the prevailing wage floor.Reclassification is routine and can reflect genuinely hybrid roles; it is not by itself evidence of underpayment.

Files H-1B transfers

6 transfer filings in the last year, covering 6 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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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.

Responsibilities

  • Strong record of building infrastructure including distributed systems
  • We build the base infrastructure layer that powers all autopilot code.

Requirements

  • Experience with PyTorch
  • Experience in diagnosing and resolving performance issues
  • 5+ years of experience with C++
  • Programming experience in multi-threaded environments - multiple processes, threads, timers, and interrupts

Company info

  • Our team is at the core of Avride's self-driving stack.
  • 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

  • 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 jobs@avride.ai.

Visa & Work Authorization

  • 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.
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This listing is sourced directly from Avride's careers page and normalized into a canonical job model.