Quest Global

Job Requirements 
At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.
Key Responsibilities
<ul>
<li>Manages and leads programs involving one or more functions and project teams to drive the engineering development and implementation process for a subsystem or component of a product or service offering.</li>
<li>Work with Marketing and stakeholders to understand objectives and translate them into engineering requirements.</li>
<li>Partner with product planners and FW leaders to prioritize based on customer value, feasibility, and timeline constraints.</li>
<li>Lead proof-of-concept projects to explore new technologies and innovative firmware solutions.</li>
<li>Coordinates activities of supporting project teams and internal and external development partners.</li>
<li>Tracks progress against established plans and makes decisions to alter or update schedules and resource allocation to meet product requirements and development timelines.</li>
<li>Scope POCs with engineering leads; define success criteria and test plans.</li>
<li>Coordinate HW/FW setup, vendor collaboration, and cross-team collaboration; capture results and root cause data to inform go/no-go decisions.</li>
<li>Align architects, developers, test teams, ODM partners, and PMO on scope, interfaces, and definition of done; lead structured issue triage and decision forums.</li>
<li>Negotiate options and trade-offs across cost, feature, and availability; document decisions and downstream impacts for NPI and sourcing.</li>
<li>Drive adoption of AI-enabled engineering practices to improve product quality, development efficiency, and decision-making.</li>
<li>Identify opportunities to leverage Generative AI, Machine Learning, and Agentic AI solutions within firmware, validation, automation, and product development workflows.</li>
<li>Collaborate with AI/ML teams to evaluate emerging technologies and integrate AI-powered capabilities into products, platforms, and engineering processes.</li>
<li>Lead AI-focused proof-of-concepts and pilot programs, including defining business value, success metrics, risk assessment, and scalability plans.</li>
<li>Utilize data analytics, predictive insights, and AI-driven dashboards to proactively identify program risks, schedule impacts, quality concerns, and resource constraints.</li>
<li>Drive engineering productivity through AI-assisted code generation, test case generation, defect analysis, root cause identification, and automation initiatives.</li>
<li>Establish governance, compliance, security, and responsible AI practices for AI-enabled solutions across engineering programs.</li>
<li>Work with stakeholders to develop AI adoption roadmaps, business cases, ROI analysis, and technology investment recommendations.</li>
<li>Monitor industry trends in AI, edge computing, intelligent systems, and automation technologies and evaluate their applicability to future product roadmaps.</li>
</ul>
We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.
We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.
 Work Experience 
Qualifications
<ul>
<li>Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, Artificial Intelligence, Data Science, or a related field.</li>
<li>8+ years leading engineering programs (hardware, firmware, software, or AI-driven solutions) in matrixed environments.</li>
<li>Demonstrated experience coordinating and directing matrixed teams and resources.</li>
<li>Strong understanding of desktop and notebook PC architecture.</li>
<li>Experience with embedded systems, BIOS, Embedded Controller, UEFI, and low-level hardware interactions.</li>
<li>Ability to effectively communicate program plans, proposals, and results, and negotiate options at management levels.</li>
<li>Strong communication and collaboration skills, with the ability to work effectively in a team environment.</li>
<li>Excellent problem-solving skills and the ability to troubleshoot complex issues.</li>
<li>Proven track record of delivering high-quality firmware, software, or AI-enabled solutions in a fast-paced, dynamic environment.</li>
<li>Experience with security aspects of firmware, such as secure boot and firmware update mechanisms.</li>
<li>Familiarity with Agile development methodologies.</li>
<li>Previous experience working with ODMs and third-party vendors.</li>
</ul>
Preferred AI &amp; Emerging Technology Skills
<ul>
<li>Experience leading AI, Machine Learning, Generative AI, LLM, or Intelligent Automation initiatives.</li>
<li>Strong understanding of AI/ML lifecycle, model evaluation, prompt engineering, RAG (Retrieval Augmented Generation), and Agentic AI concepts.</li>
<li>Experience leveraging AI tools such as GitHub Copilot, Microsoft Copilot, OpenAI, Azure AI Services, or similar platforms to improve engineering productivity.</li>
<li>Knowledge of AI-assisted software development, automated test generation, intelligent defect classification, and predictive quality analytics.</li>
<li>Demonstrated ability to drive organizational AI adoption and digital transformation initiatives across engineering teams.</li>
</ul>

Technical Program Manager – New Technology Enabling

Technical Program Manager – New Technology Enabling

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