Staff Software Engineer, ML Inference Platform

Nuro Inc.
United States
21 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$193,930.0
Working hours
Regular working hours
Job source

Tech stack

Automation of Tests C++ (Programming Language) Software Quality Distributed Systems Monitoring of Systems Python (Programming Language) Machine Learning Large Language Models Build Management Kubernetes Machine Learning Operations Data Pipelines
+1 more
Data Generation

Job description

The ML Infrastructure team is responsible for building & improving the core infrastructure for autonomy teams at Nuro. In this role, you will work closely with teams across Nuro, to design, build and deploy core infrastructure components in machine learning model life cycle, to push the autonomous future forward. You will have an opportunity to work across the full stack of machine learning solutions - from designing robust and scalable model & data pipelines to building to deploying the optimized models on Nuro’s fleet of self-driving robots!

About the Work

  • Design and develop ML workflow pipelines to train, optimize, validate, and deploy Nuro autonomy models.
  • Develop and maintain continuous testing and monitoring systems for core ML infrastructure components.
  • Develop observability to track ML model lifecycles from data generation to on-road validation.
  • Maintain an in-house ML inference platform to serve large language models efficiently.
  • Maintain an in-house ML compiler platform to compile, deploy, and validate Nuro autonomy models to various hardware platforms.

Requirements

  • You have a degree in BS, MS.c or Ph.D and 3+ years of relevant experience
  • Strong proficiency in Python or similar languages. Familiarity with c++.
  • Technical excellence: Develop with a high standard for performance, scalability, and code quality. Domain experience: Experience working with ML pipelines; ability to understand and design complex distributed systems

  • Independence and productivity: Ability and willingness to dive into unfamiliar territory, learn fast, and improve complex systems.

Bonus Points:

  • Strong proficiency in C++ or other high-performance low-level languages
  • Experience working with large-scale distributed systems
  • Experience with system & framework design
  • Experience with data workflow orchestration platforms
  • Experience with ML compilers

Benefits & conditions

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $193,930 and $352,290 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

About the company

Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides.

Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver , our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles.

With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected.

Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

4:18 min

Prioritizing communication and structural awareness over strict tool mastery

Liam Hurrel +1 · World Congress 2021

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

1:46 min

Overcoming data scarcity with synthetic data generation

Anshul Jindal Anshul Jindal +1 · World Congress 2026 Europe

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

4:04 min

Overview of Kubernetes operators and custom resource definitions

Philipp Krenn · World Congress 2022

Videos

See all

Related articles

See all