Staff/Senior Software Engineer, Offboard Infrastructure
Staff/Senior Software Engineer building data platforms, simulation systems, or technical infrastructure for autonomous driving technology. Requires 5+ years experience, strong Python/C++/Go skills, and expertise in distributed systems or related areas.
About the job
Data Platform
The Data Platform serves as a comprehensive management system for Nuro AI Driver's data, labels, and metrics, facilitating seamless access functionality. The team focuses on data annotation across various domains, including 2D/3D perception, mapping, behavior trajectory, and language/text. It also handles data ingestion and mining, employing methods such as heuristics and embedding search. Additionally, the platform supports the autonomy evaluation infrastructure by providing detailed introspection.
Simulation
The Simulation team builds the simulator that allows us to develop and test our autonomous driving technology in a virtual setting. We work on the core simulator and simulation frameworks, sensor simulation, scenario generation, and solutions that combine real-world data with synthetic techniques to push the boundaries of what can be simulated, collaborating closely with teams across Autonomy and AI Platform to allow us to simulate realistically and reliably at scale.
Technical Infrastructure
This group owns fundamental services for entire engineering organizations: generic compute platform to host mission-critical workflows such as data processing and simulation, storage management service which manages hundreds of PB of data, cloud infrastructure serves as IaaC which provisions and maintains all cloud resources, engineering productivity provides tools such as build and CI/CD to make engineering work more efficient.
About You
You have deep expertise and prior experience in some or many of the following areas:
- 5+ years of relevant industry experience in addition to a Bachelor’s Degree, Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, Robotics, or related field.
- Must have strong programming skills in Python, C++ or Go.
- You have experience in one or more of the following areas: large-scale distributed systems; data storage and processing systems; modern microservice architecture; machine learning, multithreading; x86 architecture; and software performance tuning and optimization, robotics software frameworks, different compute modalities (CPU, GPU, FPGA) etc.
Compensation
For this position, the reasonably expected pay range is between $193,930 and $352,290 for the different levels at which this job has been scoped. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
Skills
Python, C++, Go, Distributed Systems, Data Processing, Microservices, Machine Learning, Multithreading, Kubernetes, CI/CD
Similar jobs
DevOps / SRE jobsOwn reliability, incident response, observability, and automation for Crusoe Cloud’s global network infrastructure supporting large-scale GPU workloads. The role requires 8+ years of production network engineering experience, expertise in data center and lossless fabrics, Python automation skills, and strong operational leadership.
Leads the establishment and maturation of SRE practices across cloud infrastructure and platform services. This hands-on technical role focuses on reliability targets, observability, incident response, resilience, automation, and mentoring engineering teams.
Build and operate scalable platform services, infrastructure, and developer tooling that enable reliable product delivery. The role requires 7+ years of software engineering experience, JVM expertise, distributed-systems experience, and strong platform, cloud, CI/CD, and observability skills.
Leads architecture, ownership, modernization, and operation of Komodo Health’s AWS and Kubernetes infrastructure and shared services. The role requires 8+ years of infrastructure experience, deep Terraform and Kubernetes expertise, regulated-environment security fluency, and the ability to establish AI-assisted engineering standards.
Leads the architecture, automation, observability, and reliability of multi-region AWS infrastructure supporting high-throughput payments. Requires 10+ years of distributed-systems experience and deep expertise in cloud infrastructure, Kubernetes, infrastructure as code, and modern SRE practices.