You will work with responsible engineers who are designing → building → and delivering complex customer programs.

The ideal candidate will leverage their experience to deliver highly complex, optimized, multi-disciplinary products and programs.

If you are someone who loves to build world-class quality processes with suppliers, work hands-on with engineering, and be accountable for results, then this role is for you.

This role will support our 2nd shift teams and expected to work 3PM-11:30PM.

Responsibilities:

• Willingness to engagement with product development Teams to achieve quality expectations for AIS products

• Drive product development to achieve quality experience for AIS products by implementing product engineering activities like process development, verification, validation, and qualification of processes, parts and sub-assemblies.

• Drive clarity & resolution for development ambiguities associated with product maturity, process stability, and field performance that impact the product meeting it’s quality & reliability goals for volume production.

• Champion the transition from new product introduction (NPI) to a sustainable & predictable, high rate manufacturing process and supply chain.

• Own the elimination of product risk to improve reliability across the product lifecycle.

Engage in quality activities from concept through development and manufacturing to field use.

• Ensure the execution of product and process requirements.

Assist in Defining and improving such requirements.

• Work cross-functionally to define and execute the product roadmap.

• Lead Root Cause and Corrective Action (RCCA) and Material Review Board (MRB) activities.

Review the effectiveness of actions and share lessons learned across the product team.

• Lead product health data analysis and improvement activities.

Establish metrics for measuring quality and the factors that predict quality performance.

• Support the continuous improvement of the Quality Management System.

Define and improve required documentation and activities.

• Support investigations, initiatives, and projects as needed, at the team or organization level.

• Own the identification and elimination of product quality risk to improve reliability across the product lifecycle.

Support the quality planning from production concept/customer requirements through development and manufacturing to field use.

• Ensure the execution of product and process requirements to meet quality performance targets.

Define and improve such requirements.

Partner with production to ensure incoming material inspection, process control plans, and end of line test capture the essential quality requirements for successful customer shipments.

• Open to travel between HQ (CA) and Ohio based on program needs.

Required Qualifications:

• Bachelor’s degree in Engineering or similar technical field

• Experience in Engineering, Manufacturing, or Quality in aerospace/defense or similar hardware.

• Working knowledge of design review and quality management of precision mechanical parts & sub-assemblies, PCBA, harnessing, avionics, systems integration, composites, propulsion systems, and lethality systems.

• Experience driving product quality and performance requirements to test and measurement system development and optimization.

Leading the transition from engineering qualification to manufacturing variance testing for product quality coverage.

• Working knowledge of product development methodologies such as Failure Modes and Effects Analysis (FMEA), Advanced Product Quality Planning (APQP), Production Part Approval Process (PPAP) elements such as Measurement Systems Analysis (MSA), and Geometric Dimensioning and Tolerancing (GD&T).

• Working knowledge of mechanical and/or electrical manufacturing processes.

• Application of industry standards and best practices to meet government customer quality expectations.

• A strong ownership mindset with demonstrated capability to drive projects from start to completion.

• Analytical skills and experiences for data mining, data quality, metrics generation, issue management systems, and statistical analysis tools (MatLab, JMP, Minitab, etc.)

• Currently possesses and is able to maintain an active U.S. Secret security clearance.

Preferred Qualifications:

• Master’s degree in a technical field

• 5-7 years of experience with developing quality systems for high volume, high complex manufacturing environments and suppliers.

• Experience in Engineering, Manufacturing, or Quality in for communications systems used for Intelligence Community (IC) customers

• Working knowledge of AS9100/ ISO 9001-based Quality Management System requirements.

• Experience with IPC standards

• Experience with government contracts and mil standard requirements

• Experience with Teamcenter, SolidWorks, Jira, Tableau, and Altium (or other PCBA and harness design software)

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The role encompasses the entire manufacturing value chain, including Design for Manufacturability, tool design and selection, process creation and optimisation, vendor sourcing and collaboration, quality planning, and documentation for hardware production.

Key responsibilities include:

• Executing the manufacturing of a certain product or set of products, from initial prototyping through large full-scale production.
• Working with design engineers during the development process to drive design for manufacturing best practices into the design effort, and help facilitate the transition from design to prototype to rate production.
• Owning documentation required for successfully manufacturing product group hardware at scale, such as MBOMs, work instructions & requirements, etc.
• Advising on quality management and business application programs as they pertain to manufacturing within your area.
• Collaborating with internal customers and manufacturing planning teams to define capacity planning actions to meet customer needs and expectations.
• Developing production and test methodologies and implementing best practices to enable scaling production capabilities for larger, more complex products.
• Travelling to suppliers and partner sites to do initial sourcing work, solve ongoing production issues, and implement process procedures as required.

Required qualifications include a degree in a technical field such as engineering, math, or a hard science, and 3+ years in manufacturing or a similar prototyping position.

Preferred qualifications include experience with harness and PCBA fabrication, and hands-on experience with R/C and/or autonomous flight vehicles, flight controllers, or other related control systems.

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The ideal candidate will have a degree in a technical field such as engineering, math, or a hard science, and 2+ years of experience in a relevant field, preferably manufacturing or design of electromechanical hardware. They will also have demonstrated ability to creatively deliver electromechanical hardware in a resource-constrained environment, and demonstrated in-kind or direct team leadership skills.

This is a full-time position that requires a U.S. Person status as it involves access to export-controlled data. The salary range for this role is $111,000-$147,000 USD, and highly competitive equity grants are included in the majority of full-time offers.

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Technical Program Manager, Frontier AI Research

About Us

Google DeepMind is a technology company that develops artificial intelligence (AI) and machine learning (ML) systems.

The Role

As a Technical Program Manager in Frontier Research, you will navigate immense technical complexity and manage critical cross-functional dependencies at the leading edge of AI. You will apply deep technical expertise to perform engineering due diligence, influence high-level architecture, and accelerate the delivery of research.

Key Responsibilities

• Program Strategy and Execution: Translate complex research and engineering efforts into execution plans and measurable goals, and actively drive delivery through sprints or equivalent methodologies.
• Technical Due Diligence: Utilize advanced TPgM tools and processes, evaluate engineering scope, establish technical roadmaps, and influence technical direction.
• Cross-Functional Leadership: Build and guide effective cross functional partnerships across diverse disciplines, including modeling, infrastructure, and evaluation, to ensure alignment on shared objectives.
• Operational Excellence: Build and optimize scalable operational frameworks, establishing robust mechanisms to monitor program performance and anticipate technical risks while strategically reducing your personal operational load to allow it to scale.
• Continuous Innovation: Proactively identify and implement opportunities to enhance research velocity and engineering excellence through optimized tools and methodologies.
• Stakeholder Management: Distill complex technical updates and research progress into clear, actionable insights for diverse audiences and executive leadership.
• Resource Optimization: Drive strategic planning for mission-critical resources, including compute management and allocation, to respond to a rapidly changing competitive landscape.

About You

• Minimum Qualifications:
• Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
• 5+ years of experience in Technical Program Management or a related role within an advanced technical or research environment.
• Proven experience partnering directly with research or engineering leads to deliver on high-impact, technically complex projects.
• Comprehensive technical knowledge and understanding of program management methodologies adapted for research-centric environments.
• Preferred Qualifications:
• Master’s or PhD degree in a technical field, particularly related to AI/machine learning.
• Direct experience in AI/ML research or development
• Strong analytical and problem-solving skills, with a demonstrated ability to understand complex technical systems and identify opportunities for optimization.
• Passion for the future of AI and the ability to thrive in a dynamic, fast-paced environment where technology meets real-world impact.

Salary

The US base salary range for this full-time position is between $163,000 - $237,000 + bonus + equity + benefits.

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