Qualcomm Staff Manager Product Management - Auto BU AI 

United States, California, San Diego 

879179788

Job Area:

Operations Group, Operations Group > Product Management

Key Responsibilities:

• Enhancing end-to-end product strategy for AI solutions for Automotive platforms from software tools to hardware requirements

• Assisting in the definition of roadmap of tools, frameworks, ADAS and Cockpit AI applications, and build the ecosystem of AI partners around Qualcomm Automotive Products

• Collection and Prioritization of Product Requirements, Feature Requests and Software Products to ensure key customer milestones are met in an optimized and efficient manner.

• Generation of the business case associated with any proposed software product

• Cradle to grave ownership of software products: Working with automotive chipset product management, business development, eco-system management, engineering, program management, customer support and marketing teams to ensure timely and cost-effective delivery of customer SW releases and Proof of Concept & Demo products for internal and external use.

• Working with the Legal, Contracts, Engineering and business support teams to ensure that the necessary in-sourcing and out-bound licensing and SOW agreements and processes are in place to efficiently work with partners, customers and suppliers - including collection and generation of comprehensive documentation of 3rd Party, Proprietary and Open Source Intellectual Property.

Additional responsibilities include:

High-level and Real Time operating systems and frameworks on Snapdragon devices including, but not limited to:

• Linux (AGL / Yocto) including Linux containers (Kubernetes, Docker, LXC etc)

• QNX RTOS

• INTEGRITY RTOS

• Android (including Android Auto Embedded)

• Hypervisor solutions to support combinations of the above virtualized OSes

Generation of software roadmaps for Automotive BU paying consideration to:

• A portfolio which can be leveraged by OEMs, Tier1s and ISVs in the Automotive ecosystem

• Ability to work with ecosystem partners to provide scalable software offering to customers

• Flexibility within portfolio to respond to changing needs of nascent Infotainment, Digital Cockpit, ADAS, Safety, Automotive Security and Connected Car software requirements

This is an office based position in San Diego, CA.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or related field.

• 5+ years of Product Management or related work experience.

Preferred Qualifications:

• 12+ years Product Management or related work experience.

• 2+ years working with operating budgets and/or project financials.

• 2+ years negotiating 3rd party business agreements.

• 4+ years working in a large matrixed organization.

• 3+ years working experience in AI/ML hardware or software product management

• Deep knowledge of neural networks algorithms, operations, and frameworks

• Strong understanding of AI/ML hardware/software architecture, applications, toolchains, compilers and technology and market trends

• Experience collaborating with 3rd Parties and/or in-house design and execution of AI/ML benchmarks

• Ability to analyze and distill detailed data down to actionable product and business strategies

• Strong communication skills (written/verbal/presentation)

• Applied AI/ML coursework

• Past technical experience in AI/ML related technologies and ability to dive in to details

• Experience producing product business cases leading to successful products

• Familiarity with Linux and Android

• Direct experience in automotive software product management

• Domain knowledge of automotive HLOS & RTOSes, multimedia, graphics, security, safety, ADAS and connected car

• Experience developing software, including Agile Embedded software

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

$179,200.00 - $268,800.00