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Senior Edge Systems Jobs (NOW HIRING)

Marriott

Senior Systems Engineer, Edge

Bethesda, MD

$111.50K - $152.60K/yr

JOB SUMMARY The Senior Systems Engineer, Edge role ensures the stability, integrity, and efficient operation of information systems and technologies that support Marriott International's Edge ...

Lockheed Martin

Systems Engineer Sr.

Orlando, FL · On-site

$97.60K - $133.50K/yr

You will be a Sustainment Engineer Sr for the F-35 Sensors LSE team. Our team is responsible for ... cutting edge systems, this is the opportunity to accelerate your career. Join a team that values ...

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Encore Vet Group

NAVAIR Systems Engineer, Senior

San Diego, CA · On-site

$112.10K - $153.50K/yr

As our next Systems engineer, SR supporting NAVAIR, you'll collaborate with talented professionals ... Your expertise will help shape cutting-edge systems, enhance national security, and drive ...

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How much do senior edge systems jobs pay per year?

As of May 30, 2026, the average yearly pay for senior edge systems in the United States is $108,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,000.00 and $116,500.00 per year, depending on experience, location, and employer.
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Senior Edge Systems jobs near you
Sr Robotics / Autonomy Engineer AI Sensor & Edge Systems

Sr Robotics / Autonomy Engineer AI Sensor & Edge Systems

Forsys Inc.

San Francisco, CA

$123.10K - $169.10K/yr

Other

Posted 8 days ago

Job description

Forsys Inc. is a global Lead-to-Revenue and Enterprise Transformation consulting firm helping enterprises modernize revenue operations and core business platforms. Headquartered in Milpitas, California, Forsys partners with enterprise customers across the Americas to deliver large-scale Oracle, Salesforce, and cloud-led transformations.

Senior Robotics / Autonomy Engineer AI Sensor & Edge Systems

24+ Months (Contract)

San Francisco, CA Onsite required (No remote option)

In-Person Technical Interview (San Francisco)

Role Overview

We are building next-generation sensor and edge-compute systems that enable heavy machinery to see, understand, and learn from the real world. This role is for a high-velocity implementer, not a researcher.

You will design, build, deploy, and iterate on real-world AI systems mounted on large machines operating in harsh environments. If you thrive under tight timelines, imperfect data, brutal bandwidth constraints, and hands-on hardware integration, this role is for you.

This initiative is part of a broader vision to collect large-scale machine data for reinforcement learning, imitation learning, and foundation model development, similar to how Tesla approaches autonomy.

Key Responsibilities

  • Design and deploy modular sensor stacks (LiDAR, cameras, CAN bus, edge compute) across multiple machine types
  • Build low-latency AI pipelines under constrained bandwidth and compute environments
  • Integrate edge AI systems with heavy machinery and autonomous platforms
  • Enable efficient data capture, filtering, and offloading via 5G / Wi-Fi
  • Identify critical data signals required for model training and continuously refine data pipelines
  • Rapidly iterate on AI workflows to support reinforcement learning and imitation learning
  • Work onsite to mount, test, debug, and harden systems in real-world conditions
  • Deliver large amounts of functional output under aggressive timelines

Required Technical Skills

  • Strong hands-on experience in AI development for Robotics / Autonomy
  • Proficient in C++ and/or Python
  • Experience building sensor stacks including:
  • LiDAR
  • Cameras
  • CAN BUS
  • Edge compute systems

Prior work with:

  • Autonomous vehicles
  • Robotics platforms
  • UAV sensing systems
  • DIY robots that operate in real environments
  • Comfortable working with imperfect data, hardware constraints, and field deployments

Preferred Skills

  • Experience with transformer-based models and AI agents
  • Familiarity using multiple AI agents simultaneously
  • Exposure to reinforcement learning, imitation learning, or world models
  • Background in edge AI optimization and bandwidth-constrained systems
  • Previous experience at Uber, Tesla, or similar autonomy-driven companies

Soft Skills & Mindset

  • Self-starter / go-getter mentality
  • Extremely autonomous and execution-focused
  • Thrives in fast-paced, ambiguous environments
  • Comfortable cutting corners when needed to deliver results
  • Strong problem-solving instincts with a make it work attitude
  • Energized by shipping in weeks, not publishing in months

Why This Role

  • Direct impact on real machines in the field
  • Opportunity to shape large-scale AI data collection for foundation models
  • Work alongside senior architects tackling complex autonomy challenges
  • High ownership, high trust, and rapid execution
  • Not research-oriented this is about building and deploying

Forsys Is An Equal Opportunity Employer And All Qualified Applicants Will Receive Consideration For Employment Without Regard To Race, Color, Religion, Sex, National Origin, Disability Status, Protected Veteran Status, Or Any Other Characteristic Protected By Law.

Apply