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Day Shift Distributed Systems Engineer Jobs (NOW HIRING)

General Robotics

Systems Engineer

Redmond, WA · On-site

$155K - $205K/yr

Architect and manage distributed systems for efficient resource utilization across heterogeneous ... Strong systems programming skills in one or more of: C++, Rust, Go, Python. * Solid understanding ...

Netflix

Distributed Systems Engineer (L4) - Data Platform

$117K - $140K/yr

We are looking for distributed systems engineers to help evolve and innovate our infrastructure. We ... Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation ...

Netflix

Distributed Systems Engineer (L4) - Data Platform

$117K - $140K/yr

We are looking for distributed systems engineers to help evolve and innovate our infrastructure. We ... Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation ...

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All JobsDay Shift Distributed Systems Engineer Jobs

Day Shift Distributed Systems Engineer information

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$53.5K

$127.2K

$167K

How much do day shift distributed systems engineer jobs pay per year?

As of Jul 7, 2026, the average yearly pay for day shift distributed systems engineer in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What is the difference between Day Shift Distributed Systems Engineer vs Network Systems Engineer?

AspectDay Shift Distributed Systems EngineerNetwork Systems Engineer
CredentialsBachelor's in CS or related, certifications like AWS, Cisco (CCNA)Bachelor's in CS or related, certifications like Cisco (CCNA), CompTIA Network+
Work EnvironmentDesigning, deploying, maintaining distributed systems, cloud environmentsManaging network infrastructure, configuring routers/switches, troubleshooting connectivity
Industry UsageTech, cloud providers, large-scale enterprise systemsTelecommunications, data centers, enterprise networks

The Day Shift Distributed Systems Engineer focuses on building and maintaining distributed computing environments, often in cloud or data center settings. In contrast, a Network Systems Engineer specializes in network infrastructure, ensuring connectivity and security. Both roles require technical certifications and work in tech-driven industries, but their daily tasks and focus areas differ significantly.

More about Day Shift Distributed Systems Engineer jobs
What cities are hiring for Day Shift Distributed Systems Engineer jobs? Cities with the most Day Shift Distributed Systems Engineer job openings:
What states have the most Day Shift Distributed Systems Engineer jobs? States with the most job openings for Day Shift Distributed Systems Engineer jobs include:
What job categories do people searching Day Shift Distributed Systems Engineer jobs look for? The top searched job categories for Day Shift Distributed Systems Engineer jobs are:
Day Shift Distributed Systems Engineer jobs near you
Infographic showing various Day Shift Distributed Systems Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 67% Full Time, 28% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.

Systems Engineer

General Robotics

Redmond, WA • On-site

$155K - $205K/yr

Full-time

Medical, Retirement

Posted 10 days ago

Job description

General Robotics is an AI research and deployment company building a platform for general robot intelligence. Our mission is to enable rapid, robust, and safe deployment of general intelligence for autonomous systems and robotics. We aspire to become the starting point for AI-powered autonomous systems across a diverse set of scenarios.
Position Overview
We are seeking a Systems Engineer to join our team in Redmond, WA. We build and optimize the infrastructure that powers generalized robotics foundation models - spanning edge devices to cloud GPU clusters - with a focus on low latency, high throughput, and efficient resource utilization across form factors such as aerial, ground, manipulation, and others.
We are looking for strong candidates who have a background in systems engineering and AI/ML infrastructure, with experience in areas like systems programming; distributed systems architecture; GPU-accelerated computing; containerized deployments; and ML training and inference optimization. By applying to this role, you will be considered for multiple teams, such as platform infrastructure, ML systems, and edge deployment.
Systems Engineer Responsibilities
  • Design, build, and optimize systems infrastructure spanning edge devices to cloud GPU clusters for robotics workloads.
  • Develop and maintain low-latency, high-throughput pipelines for ML model training and inference.
  • Architect and manage distributed systems for efficient resource utilization across heterogeneous compute environments.
  • Optimize GPU/CUDA workloads and accelerate ML frameworks (PyTorch, JAX, TensorFlow) for robotics applications.
  • Build and maintain containerized deployment pipelines using Kubernetes and Docker.
  • Collaborate with research teams to translate model requirements into scalable, production-grade systems.
  • Design monitoring, profiling, and benchmarking tools to identify and resolve performance bottlenecks.
  • Contribute to infrastructure tooling and open-sourcing efforts.

Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, Robotics, relevant technical field, or equivalent practical experience. Master's degree preferred.
  • 1+ years of experience in systems engineering, software engineering, robotics, or AI/ML systems.
  • Strong systems programming skills in one or more of: C++, Rust, Go, Python.
  • Solid understanding of operating systems, networking, and distributed systems fundamentals.
  • Experience with ML frameworks (PyTorch, JAX, TensorFlow) and cloud infrastructure (Kubernetes, Docker).
  • Experience with GPU programming and CUDA optimization for ML workloads.
  • Experience designing and scaling distributed training infrastructure for large foundation models.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code tooling.
  • Familiarity with real-time systems, embedded platforms, or edge deployment for robotics.
  • Experience with high-performance networking, storage systems, or scheduler design (e.g., Slurm, Ray).
  • Good understanding of ML model architectures and the ability to factor systems constraints into research decisions.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Base Salary Range
The anticipated base salary for this position is $155,000 - $205,000. Your actual pay will be based on factors such as skills, experience, and location. In addition to base salary, this role is eligible for benefits including medical, 401K and other health benefits.
Work Authorization
This role is open to candidates currently based in and authorized to work in the US.
Equal Opportunity Employer
General Robotics is an equal opportunity employer. We do not discriminate on the
basis of any status protected by applicable law.
Accommodations
If you need a reasonable accommodation during the application or interview
process, please contact: HR@GeneralRobotics.company

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