Efficient AI Systems Principal Engineer - On-Device/Edge, Machine Learning Engineering

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

Auto AI Systems: Team Lead

We are seeking a highly qualified AI Systems Team Lead who will be responsible for overseeing a team of machine learning engineers in the design and implementation of state-of-the-art Visual Language Action Models (VLAs), VLMs, LLMs used for low-level perception (LLP), end-to-end autonomous driving and infotainment applications with a focus on achieving accuracy-latency Pareto optimality.

The team will be tasked with designing state-of-the-art Low-Level Perception systems as well as end-to-end AD design and deployment on the Qualcomm Ride platform for L2/L3 ADAS/Autonomous driving. Additionally, the team will be responsible for enhancing the speed, accuracy, power consumption, and latency of deep networks operating on Snapdragon Ride AI accelerators.

The ideal candidate must be well-versed in recent advancements in VLAs, VLMs, LLMs and Vision Transformers (Cross Attention, Self-Attention), lifting 2D features to BEV space, and their applications to multi-modal fusion. The role requires facilitating collaboration with various Qualcomm horizontal AI teams.

Furthermore, the candidate will be responsible for engaging with advanced R&D teams of leading Automotive OEMs as well as Qualcomm's internal stack teams.

A strong knowledge of machine learning algorithms, particularly those related to automotive use-cases (autonomous driving, vision, and lidar processing ML algorithms), is essential. Research experience in the development of efficient networks, network quantization is highly desirable. Good exposure to deploying networks in resource constrained devices is desired for this role.

The candidate will also be responsible for building a team of world-class AI/deep learning engineers.

Minimum Qualifications:

•    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.

*Works in the lab, can use hazardous chemicals (e.g., glue, machinery).

Preferred Qualifications:

• PhD in related field with 5+ years of relevant experience, master’s with 10+ years, or Bachelor of engineering with 12+ years of relevant experience.

• Previous experience in leading ML engineers.

• Strong interest towards team leadership, cross functional collaboration and mentoring/guiding new team members.

• Strong understanding of Machine Learning fundamentals with multiple external publications/patents.

• Hands-on experience with deep learning network design and implementation.

• Good at software development with excellent analytical, development, and problem-solving skills.

• Experience in deep learning kernel/compiler optimization.

• Strong communication and interpersonal skills are required

Principal Duties and Responsibilities:

•    Serves as a technical expert in identifying patterns of issues in systems-level software and hardware design and implications for work across teams; provides support to multiple teams to address issues and generate solutions; creates well-defined architectures that meet ambiguous requirements and/or have a financial impact.
•    Advises multiple teams in design reviews to facilitate platform development; drives evaluation of total system performance based on constraints and/or capabilities to support design integrity.
•    Takes ambiguous requirements, business requirements, and aligns cross-functional efforts to ensure internal and/or external customer requirements are gathered and agreed upon; communicates a technical vision for guiding multiple teams to design products and solutions.
•    Acts as a technical lead and owns complete testing for software and hardware performance and quality; supports multiple teams through testing, data analytics, and validation of design; defines specifications for software and hardware; works with leaders to guide architectural decisions related to multimedia systems-level software, hardware, and/or products. 
•    Ensures appropriate tools are being used and supported across multiple teams; acts as an expert in identifying patterns of issues and implications for work; supports multiple teams to address issues.
•    Serves as a technical expert when leading teams by translating strategic goals and roadmaps into smaller projects and desired features; uses deep and broad technical understanding to review the team's new algorithms, provide implications for work across teams, and triage complex technical issues by generating new solutions and involving others; decide how solutions would be partitioned on the SOC level.
•    Serves as a technical expert and provides support to teams on data engineering or data management issues for machine learning solutions within a domain.
•    Acts as a technical lead for teams developing machine learning solutions; reviews and helps write proposals or roadmaps for complex products; consults with staff engineers to ensure they understand development requirements for products.
•    Provides technical expertise to others within the team regarding experiments to train and evaluate machine learning solutions and communicates progress to key stakeholders.
•    Evaluates topologies against performance, and cost variables and uses the feasibility findings to review the high-level design for multiple products, product families, or technologies; provides guidance, direction, and decision making; presents the analysis and the recommended route/topology that should be used to maximize performance, quality, and costs while reducing risks to the schedule and implementation. 
•    Acts as a technical expert to others on industry trends, competitors' products, and advances in various engineering fields related to multimedia systems products and technology; reviews technical articles and publications; shares solutions and seeks best practices from open-source community; shares expertise within and/or across teams.
•    Leverages deep technical expertise to identify trends and define future solutions by contributing to discussions on the short- and long-term strategic direction of the product/technology roadmaps.
•    Leads technical conversations; resolves cross functional design and technical issues related to technical area of expertise; sets expectations and is an example for teams in documenting technical and/or overall system issues; participates in patent application reviews.

Level of Responsibility:

•    Working independently with no supervision. 
•    Providing supervision to others who may be direct reports.
•    Making decisions that are significant in impact, influencing overall program or project success, finances, and/or the ability to meet objectives; errors are not readily apparent due to the complexity of work process/product or time between decisions and results; errors typically result in significant expenditure of time, resources, and funds to correct. 
•    Using verbal and written communication skills to convey complex and/or detailed information to multiple individuals/audiences with differing knowledge levels. May require strong negotiation and influence, communication to large groups or high-level constituents.
•    Developing and administering budgets, schedules, and performance standards for functional area within the prescribed budgetary objectives of the department. 
•    Having a great degree of influence over key organizational decisions (e.g., is making or directly making key decisions that have substantial impact on the organization).
•    Completing tasks that require multiple steps that can be performed in various orders; tasks require simultaneously executing multiple cognitive abilities and maintaining information in short- or long-term memory.
•    Regularly determining what needs to be done and is involved with sharing innovative solutions to achieve broad policies and objectives.
•    Working on abstract problems in variable situations that typically require complex analysis, interpretation, or evaluation of intangible factors; directing the resolution of complex problems that have impact beyond own area; participating in corporate development of methods, techniques, and evaluation criteria for projects, programs, and people.
•    Participates in the organization's planning process, interpreting business strategies, establishing strategic plans and objectives for multiple areas and functions; decisions may affect entire organization.

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EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

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Pay range and Other Compensation & Benefits:

$230,300.00 - $345,500.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm.  We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus).  In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.