Agent Client Protocol Developer Jobs

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1mo ago

Software Engineer, Agentic Tooling

Tesla Palo Alto, CA

Palo Alto, CA

1mo ago Closed

$140k - $390k/yr Full time Backend Developer Agent Client Protocol Ai Agents

This position is no longer accepting applications (closed Jul 8, 2026).

Job Description

Tesla offers a benefits-forward role in Palo Alto, onsite, with a focus on the harness and skill ecosystem that powers our AI org behind FSD and Optimus. You will help extend the agent runtime, ship practical skills, and maintain robust evaluation, observability, and production infrastructure, all while collaborating across teams to turn complex workflows into reliable tooling.

Benefits

Medical plans with plan options and $0 payroll deduction
Family-building, fertility, adoption and surrogacy benefits
Dental and vision plans, including orthodontic coverage, with $0 paycheck contributions
Company funded Health Savings Account contributions when enrolled in the high-deductible plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts (FSA)
401(k) with employer match, Employee Stock Purchase Plans, and additional financial benefits
Company paid Basic Life and AD&D insurance
Short-term and long-term disability insurance (90 day waiting period)
Employee Assistance Program
Sick and vacation time, flex time for salary roles, accrued hours for hourly roles, and paid holidays
Back-up childcare and parenting support resources
Voluntary benefits including critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Weight loss and tobacco cessation programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program

Responsibilities

Extend the agent runtime and tool ecosystem end to end, adding new tools, integrations, and backends without regressing existing skills while keeping the platform easy to extend as the ecosystem grows
Ship new skills that streamline real workflows for engineers across the AI org, from one-off automations to reusable agent capabilities used across the fleet
Design and operate the evaluation framework to catch regressions in prompts, skills, harness changes, and model upgrades before they reach users
Own session-level observability across tracing, logging, and metrics; build dashboards and alerts that flag issues before users are affected
Operate production agent services on Kubernetes, async backend services, durable storage for session memory and embeddings, and the public-facing APIs that route work to them
Contribute to architectural decisions with a focus on security, scalability, and reliability, particularly around credential isolation and the interfaces between harness, model runtime, and the sandboxing layer
Embed with users and ship cross-team, end-to-end solutions: collaborate with engineers across the AI org to understand workflows, identify toil moments, and drive solutions from initial conversations through prototype, rollout, and hand-off

Requirements

Proficiency with Python; Go is a plus
Strong foundation in Linux systems; containerization and Kubernetes experience is a plus
Solid background in concurrent and asynchronous programming
Experience with relational and vector data stores to support long-running agent workflows is a plus
Open-ended problems and product instincts: ability to translate vague asks into end-to-end shipped solutions with a usable first version
Adaptability and curiosity in a fast-paced space: weekly developments in agent tooling; stay current on models, frameworks, and agent patterns and re-platform when needed
Experience with Claude Code SDK, ACP (Agent Client Protocol), or opencode is a plus
Experience with sandboxing, application security, sandboxed code execution, container isolation, capability-based access control, credential isolation, and secrets management is a plus
Experience building or operating an evaluation pipeline for skills, prompts, or models, including offline replay, scoring against ground truth, or regression gating in CI, is a plus
Experience with CI/CD for ML or agent systems, distributed task orchestration, or developer-tools work where the customer is another engineer is a plus

Technologies

Python
Go
Linux
Kubernetes
Claude Code SDK
ACP (Agent Client Protocol)
opencode

Compensation

Expected compensation: USD 140,000 to 390,000 per year in base salary, plus cash and stock awards and benefits. Pay offered may vary based on location, knowledge, skills, and experience. The total compensation package may include additional elements dependent on the position. Details of participation in benefit plans will be provided if an offer is made.

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