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Repo Agent Salary Jobs (NOW HIRING)

CME Group

Staff Agentic Software Engineer

Chicago, IL · On-site

$125K - $209K/yr

Build and maintain the shared agent infrastructure: repo-level agent context, MCP server ... Actual salary offered will be dependent on a wide array of factors including but not limited to ...

Clera

Founding Design Engineer

San Francisco, CA · On-site

$180K - $220K/yr

Define and enforce frontend patterns using React Query, React Hook Form, and Zod to keep agent ... Primary ownership of a design system or component library in production (a public repo, portfolio ...

CME Group

Staff Agentic Software Engineer

Chicago, IL · On-site

$125K - $209K/yr

Build and maintain the shared agent infrastructure: repo-level agent context, MCP server ... Actual salary offered will be dependent on a wide array of factors including but not limited to ...

Deeploi

$173 - $219/hr

Push our production AI support agent further: more automated ticket resolution, production-grade ... Competitive salary + virtual share package (VSOP). * Benefits: public transport ticket or Urban ...

Collibra

Senior AI Engineer, Unstructured AI

New York, NY · Hybrid

$204K - $255K/yr

Agentic engineering in practice, not just tool usage: you can say where an agent loop earns its ... Same discipline when coding agents write for you - tests, review gates, repo conventions. * This ...

Collibra

Senior AI Engineer, Unstructured AI

New York, NY · On-site

$204K - $255K/yr

Agentic engineering in practice, not just tool usage: you can say where an agent loop earns its ... Same discipline when coding agents write for you - tests, review gates, repo conventions. * This ...

Crunchyroll, LLC

Staff AI Engineer

Dallas, TX · Hybrid

Apply and extend AI-assisted engineering tooling, including coding-agent workflows, repo access ... Receive a great compensation package including salary plus performance bonus earning potential ...

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Repo Agent Salary information

How do repo agents get paid?

Repo agents typically earn a commission or fee for each vehicle they successfully repossess, which can be a flat rate or a percentage of the vehicle's value. Some may also receive an hourly wage or salary, especially if employed by a repossession company, and may earn bonuses for efficiency or volume of recoveries. Payment structures often depend on the employer and the specific repossession assignment.

Is it hard to become a repo agent?

Becoming a repo agent typically requires a clean background check, a valid driver's license, and sometimes a license or certification depending on the state. The job involves skills in negotiation, driving, and sometimes working irregular hours, but it generally does not require extensive formal education or training.

What do repo agents do?

Repo agents are responsible for locating and recovering assets such as vehicles or property when borrowers default on loans. They often work in the field, using tools like GPS and communication devices, and must follow legal procedures to repossess items safely and efficiently.

What cities are hiring for Repo Agent Salary jobs?

Cities with the most Repo Agent Salary job openings:

What states have the most Repo Agent Salary jobs?

States with the most job openings for Repo Agent Salary jobs include:

What job categories do people searching Repo Agent Salary jobs look for?

The top searched job categories for Repo Agent Salary jobs are:

Repo Agent Salary jobs near you
Infographic showing various Repo Agent Salary job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Senior Software Engineer, Agentic Robotics Infrastructure

NVIDIA Corporation

Santa Clara, CA • On-site

$152 - $242/hr

Other

Posted 17 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Job description

Join NVIDIA's Isaac Applications Engineering team and help build the platform for Physical AI robots — assembling the full robotics stack and proving it out on real hardware, from simulation through deployment. This role owns a question that runs through all of it: is our software ready to be used by agents? That means the coding agents we build with, the agents our customers will use to build on our stack, and the embedded agents running on the robot itself. You'll design for it, build for it, test for it, and build the infrastructure that keeps it true as the stack evolves.What you'll be doing:Design for it. Shape APIs, error surfaces, tooling, and documentation so that agents can build with our robotics stack as effectively as human engineers — across multiple products and neighboring teams.Build for it. Create agent skills and automated workflows that teams adopt in their own repos, and support embedded agents on the robot (code-as-policy and related approaches) where latency, safety, and determinism constraints apply.Test for it. Run and integrate skill evaluations so agentic workflows are measured, not just deployed, and turn those evaluations into automated checks that catch regressions before they land.Build the infrastructure that keeps it true. Own CI/CD across the applications repos — spanning CMake, Bazel, and Python builds — including runners, Docker images, dataset provisioning, nightly builds, and release and docs pipelines.Spread what works. Package patterns into docs, templates, and starter kits, then drive adoption — running the conversations with teams and following through until a practice is live in more than one repo.What we need to see:Master's degree in Computer Science, Robotics, Engineering, or a related field (or equivalent experience).5+ years of professional software engineering experience.Fluency across the kinds of software a robotics stack is made of — policy training, simulation, on-robot deployment — and the judgment to work effectively in whichever language and toolchain each of those calls for.Hands-on experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, or similar), with proven Docker and Linux fundamentals.Practical experience using coding agents or LLM-based developer tools in real work, and a point of view on where they succeed and where they fall over.A bias toward making other engineers faster, and the follow-through to get a practice embraced rather than just proposed.Clear written communication — a large part of this role is documentation, templates, and persuading teams to change how they work.Ways to stand out from the crowd:Experience building agent skills, tool integrations, or MCP servers, and evaluating agent performance systematically.Familiarity with NVIDIA robotics products such as Jetson, Isaac Sim/Lab, or Isaac ROS.Background in robotics, embedded systems, or another domain where software has to run on real hardware.Experience managing GPU-backed CI infrastructure or self-hosted runner fleets.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until August 6, 2026.This posting is for an existing vacancy.NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #J-18808-Ljbffr

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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