As part of our Manufacturing team, you’ll help build the world-class, state-of-the-art smart vehicles we're known for. In our plants around the world, we’re constantly developing new technologies and processes to further increase our efficiency. You'll get the satisfaction of making great products people use and love.

In this role, the Machining Engineer will work with Powertrain Manufacturing, Product Development, and Suppliers to successfully develop and launch next-generation Powertrain processes. Successful candidates will have a proven record of working with cross-functional teams in the development and implementation of complex machining solutions.

The Machining Engineer will be required to apply their knowledge of machining methods as it applies to both internal combustion engine and E-motor manufacturing. In this role, the engineer will have a direct impact on the design and processing of powertrain components in current and future Ford products. A key component of this role involves serving as a Process Integrator, bridging the gap between theoretical design and plant-floor execution. This includes leading new technology development for tooling and processes within a controlled lab environment to ensure seamless transition to high-volume production. Ideal candidates must navigate and drive change in a complex internal environment, challenging the status quo as we define an all-new way of manufacturing vehicles.

Responsibilities:

• Drive new process development requests, enabling a framework for cross-functional teams to create robust machining and assembly processes.
• Conduct analysis, provide interpretation, communicate, and document simulation results.
• Ensure manufacturing feasibility for assembly and machining process designs, resulting in parts that can be machined or assembled by standard and best practice methods in support of new Powertrain program product launches.

Additional responsibilities include:

• NC Code Development: Write, edit, and optimize NC code (G-code/M-code) to support the development of new machining cycles and specialized tooling applications.
• Plant Troubleshooting: Assist Ford manufacturing plants in resolving significant engineering issues and achieving continuous improvement for both new programs and current production.
• Lab-Based R&D: Lead the development and validation of innovative tooling and machining processes within a controlled lab environment before deployment to production facilities.
• Process Integration & Optimization: Act as a lead integrator to ensure lab-developed technologies are successfully implemented in plant operations; drive continuous optimization of existing plant processes to improve cycle time, quality, and tool life.
• Technical Support for PD: Provide technical support to Product Development (PD) Component Program Module Teams (CPMT's) and coordinate process design between Product Engineering, PTME, and external suppliers to assure ‘design for manufacturing feasibility.’
• DPA5 Support: Support the Digital Preassembly 5 (DPA5) process through the development of component Manufacturing Design Specifications (MDS) and Manufacturing Process Specifications (MPS).
• Simultaneous Engineering: Support simultaneous engineering and feasibility studies among product engineering, manufacturing engineering, and supplier organizations.
• Vibration Analysis: Support Machining Process engineers in data collection and analysis.
• Innovation: Evaluate innovative and disruptive emerging processes and material technologies for potential application to Ford products.
• Purchasing Support: Provide technical support to Purchasing involving the resolution of machining and assembly methods related to productivity and quality issues of external suppliers.

Qualifications:

• Minimum Requirements:

• Bachelor of Science/Engineering/Technology (Chemical, Electrical, Mechanical, Metallurgy, or Materials Science)
• 5+ years of experience with Machining, preferably for powertrain applications.
• Proven background as a CNC Machinist with hands-on experience in machine setup and operation.
• Proficiency in writing, debugging, and optimizing NC code for multi-axis CNC machines.
• Demonstrated experience in a controlled lab or R&D environment developing new tooling and machining technologies.
• Strong experience in process integration,transitioning technology from a development phase to a high-volume production environment.
• Strong communication skills, both written and oral.
• Siemens and Bosch Rexroth Controller experience.
• Working level knowledge of Assembly Operations.
• Deep understanding of machining fundamentals: turning, boring, milling, drilling, reaming, and grinding.
• Proficient level of tooling, work-holding, and fixturing design.
• Knowledge of powertrain materials: steel, cast iron, CGI, and aluminum alloys.

• Preferred Requirements:

• Excellent problem-solving skills and the ability to make decisions in a fast-paced, dynamic environment.
• Exceptional communication and interpersonal skills to present, persuade, and collaborate at all levels of the organization.
• Highly motivated self-starter capable of driving change and influencing engineering decisions, with or without authority.
• Proven track record of delivering major product launches in an automotive manufacturing facility.
• Ability to work in a production setting and aid in troubleshooting of supplier equipment and processes.
• Ability to travel both domestically and internationally.
• Travel may be required from 25% up to 40% of time.

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You'll design A/B tests that measure product impact, build frameworks that reveal how our AI models perform across user segments, and investigate the hard questions: what makes a good AI-generated presentation, and why does a feature land differently for enterprise versus consumer users? You'll partner closely with product, engineering, and design to define quality metrics, uncover edge cases, and guide decisions with data. This is an IC role for someone eager to be hands-on, but it can grow into a leadership position establishing the Data function at Gamma.

You'll thrive here if you're curious, comfortable with ambiguity, and excited to figure out what questions to ask rather than just answering the ones given to you.

Our team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.

Responsibilities

• Build frameworks that help the team understand AI model performance, user behavior, and product health across Gamma's platform
• Dig into AI model outputs across user cohorts to identify quality gaps and create evals and metrics to measure improvement
• Partner with engineering and product to define quality metrics for AI-generated content and user satisfaction
• Develop statistical models and frameworks that empower product teams to make data-informed decisions independently
• Design and analyze large-scale A/B tests and experiments with statistical rigor to measure product impact and guide prioritization

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