Sr. Software Engineer – Agent Platform

GM • Sunnyvale, CA

1d • Hybrid

About The Position

The Role: We are seeking a Sr. Software Engineer to lead the agent platform – GM’s ML assistant for experiment automation and infrastructure debugging. You will own the architecture and implementation of the LLM ‑ plus ‑ tools system that helps ML engineers submit , monitor, debug, and evaluate experiments with high reliability and low latency. What You’ll Do: Own architecture, implementation, and operations for the agent orchestrator, skills, tools, and APIs. Design and evolve a multi ‑ agent / skills architecture with clear contracts, schemas, and validation between agents and tools. Build ML experiment lifecycle skills : Queue ‑ aware experiment submission and CI/CD integration o Async job monitoring and alerting across logs/metrics/job state o Failure diagnosis and recovery (classification, auto ‑ fix, resubmit) o Convergence review and evaluation report generation. Implement integrations with experiment metadata, observability stacks, CI/CD, GPU queues, identity, and auth . Establish end ‑ to ‑ end observability for Agent : traces, metrics, dashboards, and quality signals (e.g., routing accuracy, evidence coverage, hallucination rate, latency). Raise the bar on safety and correctness for LLM+tools : Routing guards, entity resolution, and post ‑ synthesis validation o PII ‑ safe logging, secret handling, and robust access control. Define and maintain APIs and event schemas that make agents easy to integrate into other tools and workflows. Drive projects from requirements → design → implementation → rollout → continuous improvement . Set engineering standards and mentor other engineers on the team.

Requirements

• At least 7+ years of experience building production-level frontend applications using React, Angular, WebGL or similar frameworks
• Strong understanding of JavaScript/TypeScript and dynamic frontend fundamentals
• Experience building, deploying, and operating high-availability services
• Led large technical initiatives from idea to operationalization and continuous evolution of technical solution to enable new business capabilities and improve efficiencies
• Ability to identify broad challenges (technical, functional, business challenges) worth tackling, and parse them into initiatives within and across engineering teams
• Experience creating ground up enterprise architecture, systems architecture, integration architecture standards, frameworks, and practices
• Programming experience in Python, Java, Go
• Experience working with cloud infrastructure, automations, configuration management, artifact management and building advanced CI/CD solutions

Responsibilities

• Own architecture, implementation, and operations for the agent orchestrator, skills, tools, and APIs.
• Design and evolve a multi ‑ agent / skills architecture with clear contracts, schemas, and validation between agents and tools.
• Build ML experiment lifecycle skills : Queue ‑ aware experiment submission and CI/CD integration o Async job monitoring and alerting across logs/metrics/job state o Failure diagnosis and recovery (classification, auto ‑ fix, resubmit) o Convergence review and evaluation report generation.
• Implement integrations with experiment metadata, observability stacks, CI/CD, GPU queues, identity, and auth .
• Establish end ‑ to ‑ end observability for Agent : traces, metrics, dashboards, and quality signals (e.g., routing accuracy, evidence coverage, hallucination rate, latency).
• Raise the bar on safety and correctness for LLM+tools : Routing guards, entity resolution, and post ‑ synthesis validation o PII ‑ safe logging, secret handling, and robust access control.
• Define and maintain APIs and event schemas that make agents easy to integrate into other tools and workflows.
• Drive projects from requirements → design → implementation → rollout → continuous improvement .
• Set engineering standards and mentor other engineers on the team.

Benefits

• GM offers a variety of health and wellbeing benefit programs.
• Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees