Senior Software Engineer - ML Infrastructure
Applied Intuition · Sunnyvale
Roboticsonsitesenior$215k–$285k
At a glance
Highlights
- Powering digital infrastructure to bring intelligence to every moving machine.
- Own the full ML lifecycle from dataset generation to deployment at scale.
- Solve broad, ambiguous data problems directly with autonomy modeling teams.
What they offer
- Equity in the form of options and/or RSUs
- Comprehensive health, dental and vision insurance
- Life and disability insurance coverage
- 401(k) with employer match
- Learning and wellness stipends
- Paid time off
Ideal candidate
Infrastructure-minded engineer who loves owning ambiguous, end-to-end ML problems and partnering with modeling teams to build excellent, company-wide platforms.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or equivalent
- 3+ years of professional experience
- Experience building software for production, full-stack machine learning challenges
- Opinions on building a company-wide ML training, evaluation and deployment platform
- Knowledge of open-source ML landscape and build vs. buy judgment
- Excellent analytical and problem-solving skills
- remote policy
- In-office 5 days a week with occasional flexibility
Lab profile
About Applied Intuition
Builds simulation, vehicle OS, and autonomy infrastructure for automotive, defense, and heavy industries.
What they build
- Autonomy software stacks
- Vehicle operating systems
- Simulation and validation tooling
Known for
- Trusted by 18 of top 20 global automakers
- Expertise across automotive, defense, trucking, mining and agriculture
- Full-stack coverage from tooling to OS to autonomy
Key facts
- Founded in 2017
- Headquartered in Silicon Valley
- Valued at $15 billion
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