Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
NVIDIA

Senior Systems Software Engineer – Machine Learning

NVIDIA

. Convert research into real products .

Posted 11/12/2026full-timeUnited StatesSenior💰 $152,000 - $287,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in machine learning workflows and pipelines, with a strong foundation in computer vision and deep learning. Proven ability to collaborate effectively across teams and communicate complex concepts clearly.

Highest-signal resume keywords
Machine Learning WorkflowsComputer VisionDeep LearningPython ProgrammingMulti-Agent Pipelines

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningComputer VisionDeep LearningPython ProgrammingC/C++ ProgrammingSoftware Engineering FundamentalsUnix/Linux DevelopmentAlgorithm DesignData Generation PipelineEvaluation Criteria Definition
Soft Skills
CollaborationCommunication
Tools & Technologies
VLMAI-Powered FeaturesData Pipelines
Industry Keywords
Research PublicationsProduct Feature ShippingPerformance ChallengesArchitectural AlternativesNon-Deterministic Failures

Tech Stack

Tools & technologies
LinuxPythonUnixC++

About the role

Key responsibilities & impact
  • Convert research into real products
  • Help build workflows that diversify datasets and/or populate data
  • Ship machine learning workflows/pipelines and iterate quickly
  • Leverage LLM/VLM and agents in the data generation pipeline
  • Define evaluation criteria and run offline evaluations before model or prompt changes reach production
  • Collaborate with engineers, scientists, and other teams
  • Design and operate multi-agent pipelines in production
  • Build and ship VLM-backed and AI-powered product features

Requirements

What you’ll need
  • Masters degree (or equivalent experience) or preferably a PhD degree in Computer Science or a related field with 5+ years of experience
  • Solid mathematical and algorithmic foundation and proven expertise demonstrated through research publications, internships, or significant project experience
  • Strong background in computer vision and deep learning
  • Excellent programming skills in Python and C/C++
  • Excellent software engineering fundamentals
  • Ability to develop code in Unix/Linux environments
  • Excellent written, visual, and verbal communication skills to present performance challenges, tradeoffs, and architectural alternatives
  • Strong collaboration skills to partner with other teams
  • Experience designing and operating multi-agent pipelines in production, including handling non-deterministic failures, retry logic, and tool-call error recovery
  • Shipped a product feature backed by a VLM, including handling inference latency, cost-per-call tradeoffs, and degraded-mode fallbacks
  • Shipped AI-powered features to real users

Benefits

Comp & perks
  • Equity
  • Benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score