Descripción

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.

Your Skills & Abilities (Required Qualifications)

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

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

The salary range for this role is $170,600- $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
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.

Benefits:

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.

Este puesto se clasifica como híbrido. Esto significa que se espera que el candidato seleccionado se presente en una ubicación específica al menos 3 veces por semana {o con otra frecuencia indicada por su líder}.

Este puesto podría ser elegible para beneficios de relocalización.

Información sobre diversidad

General Motors se compromete a ser un lugar de trabajo en el cual no solo no haya discriminación indebida, sino que fomente con sinceridad la inclusión y el sentido de pertenencia. Creemos firmemente que la diversidad del personal crea un entorno en el cual nuestros empleados pueden prosperar y desarrollar mejores productos para nuestros clientes. Instamos a los candidatos interesados a que revisen las responsabilidades y aptitudes clave para cada puesto y se postulen para los puestos que coincidan con sus habilidades y capacidades. Es posible que, cuando corresponda, se les pida a los solicitantes que están en el proceso de contratación que completen satisfactoriamente una o más evaluaciones relacionadas con su función y/o una evaluación previa al empleo antes de comenzar a trabajar. Para obtener más información, visite Cómo contratamos.

Declaración de igualdad de oportunidades en el empleo (EE.UU.)

General Motors se enorgullece de ser un empleador que ofrece igualdad de oportunidades. Todos los solicitantes calificados serán tenidos en cuenta para el empleo sin distinción de raza, color, religión, sexo, orientación sexual, identidad de género, nacionalidad, discapacidad o condición de veterano protegido.

Adecuaciones (EE.UU. y Canadá)

General Motors ofrece oportunidades a todos los solicitantes de empleo, incluyendo las personas con discapacidades. Si necesita una adecuación razonable para ayudarle con su búsqueda o solicitud de empleo, envíenos un correo electrónico a [email protected] o llámenos al 800-865-7580. En su correo electrónico, incluya una descripción del puesto específico que está solicitando, así como el título del empleo y el número de solicitud del puesto que está solicitando.