Forward Deployed Engineer, Test & Validation

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Develop and ship core test planning, execution, and analysis capabilities for an enterprise AI platform deployed in live customer programs. Partner with founders, engineering leadership, and test/validation engineers to tackle scheduling risk, test coverage, resource allocation, and requirements traceability. Build agentic domain knowledge, bring frontier T&V workflows into production, and write code plus deploy analysis and planning systems to drive qualification and release decisions.

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build and own test planning, execution, and analysis capabilities within the platform, deployed in live customer programs that drive qualification and release decisions.
•Work with customers to understand and overcome test and validation challenges such as schedule risk, test coverage, resource allocation, and requirements traceability.
•Build domain knowledge infrastructure to make agentic analysis credible for technically demanding validation programs.
•Bring frontier test and validation workflows into the platform (e.g., optimal test plan design, accelerated qualification, data-driven coverage analysis) with measurable customer impact.
•Write code and deploy analysis and planning capabilities while owning the engineering validity of production systems.

Key Requirements

•Deep test and validation experience in complex hardware T&V programs such as cell/pack qualification, environmental and reliability testing, or equivalent programs in aerospace, medical devices, or defense.
•Fluency in test engineering, including design of experiments, reliability engineering, statistical inference on test data, and requirements-driven test planning.
•Applied data experience using data science, data engineering, and/or machine learning techniques in industrial applications, with fluency in Python.
•Thoughtful, practical understanding of where AI can accelerate hardware test programs, including concrete examples of AI or data-driven methods in past work.
•An advanced STEM degree (e.g., MS or PhD in engineering or the physical sciences).

Experience:Hardware testingTest and validationAerospaceMedical devicesDefenseIndustrial applicationsData scienceMachine learning

Education:Master's

Skills:Commercial instinctPrioritizationIndependent problem solving

Tech Stack:PythonCursorClaude Code

Company Brief

Ohm

Ohm builds AI-powered agents and automation that let teams perform tasks across web apps via natural language. Their platform connects to software tools to automate workflows, extract insights, and execute actions on behalf of users.

Industry: AI & Machine Learning

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Ohm

5 days ago