Nuro
Tech / AI / Software
SoftwareEngineer,DistributedComputeSystem
Neural analysis suggests this role is
optimal for Senior candidates.
“Software Engineer, Distributed Compute System at Nuro. Skills: building and developing large-scale distributed applications, design and develop scalable, reliable frameworks, orchestrate and execute large-scale workloads in cloud and on-premise clusters, optimize workload efficiency and turnaround time. build/scale Nuro's large-scale computing infrastructure in the cloud/data center. design and develop scalable, reliable frameworks: BATES to orchestrate and execute large-scale workloads in cloud”
Industry & Context.
identify inefficiencies and bottlenecks; prioritize tasks
What They're Looking For.
Must Have
bachelor's degree in Computer Science, Electrical Engineering, or a closely related field or equivalent experience, proven experience in building and developing large-scale distributed applications (e. g. Kubernetes)
Nice to Have
Experience with database technologies (e. g. , Redis, SQL, NoSQL) and pub/sub systems, Experience with hyperscalers, particularly Google Cloud Platform or other major providers, Experience with workflow management tools or map-reduce frameworks such as Apache Airflow, Buildkite, Ray, or Dataflow, Experience with Linux system, e. g. CPU scheduler, memory management, file systems, Experience with data analysis, includes defining metrics, running A testing, and building metric dashboards, Experience with real-time monitoring framework like Prometheus, Experience with continuous integration/delivery (CI/CD)
What You'll Do.
build/scale Nuro's large-scale computing infrastructure in the cloud/data center
design and develop scalable
reliable frameworks: BATES to orchestrate and execute large-scale workloads in cloud and on-premise clusters
collaborate with application teams throughout Nuro to provide robust
generic tools and APIs that accelerate their development of business critical applications
optimize workload efficiency and turnaround time by deeply understanding and analyzing application context to identify inefficiencies and bottlenecks
and implement innovative solutions
How You'll Work.
Team & Collaboration
Collaborate with application teams throughout Nuro; highly collaborative
Full Job Description
Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future. About the Role We’re looking for senior engineers to build/scale Nuro's large-scale computing infrastructure in the cloud/data center. This system is the foundation of many critical business applications throughout the company, including but not limited to machine learning data pipelines, data discovery, simulation, and time-series multimedia log processing. In this role, you’ll be working on building a scalable, efficient and reliable system that bridges the gap between fundamental infrastructure and high-level job requests, and make large-scale computations more accessible to autonomy/other infrastructure engineers. About the Work Design and develop scalable, reliable frameworks: BATES to orchestrate and execute large-scale workloads in cloud and on-premise clusters. Collaborate with application teams throughout Nuro to provide robust, generic tools and APIs that accelerate their development of business critical applications. Optimize workload efficiency and turnaround time by deeply understanding and analyzing application context to identify inefficiencies and bottlenecks, prioritize tasks, and implement innovative solutions About You You have proven experience in building and developing large-scale distributed applications (e. g. Kubernetes). You’re self-motivated to identify opportunities for system improvement and drive positive change. Ability to turn high-level requirement
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