One of the big challenges product manufacturers face is to meet the market demand for battery-operated, always-on, always-sensing products without sacrificing sensing capabilities, maintaining reasonable battery-life, and keeping data secure and local.
Aspinity's novel and patented analog machine learning (ML) solution marks a paradigm shift in the way sensor data is analyzed for a multitude of end-user applications. Just as the brain makes sense of its multi-modal sensory input by focusing higher-order cognition on salient characteristics, Aspinity enables developers to extract "sense" from sensors before the data is even digitized, which reduces power consumption and allows the system to focus higher power compute resources on relevant information. With already established applications to voice control, sound classification, machinery monitoring, and distributed power grid monitoring, Aspinity's programmable analog processing technology is positioned to be the key abstraction layer for the physical world at a time when new user interface paradigms (touch to voice to …) and new monitoring capabilities are transforming industries. Join us as we build this new analogML framework!
Position Description
As Director of Engineering, you will be responsible for leading the specification, design, implementation, and test of comprehensive semiconductor solutions employing Aspinity’s AI/ML processor technology. You will be leading hardware and software teams to deliver innovative solutions into key markets including automotive, IoT, and AI/ML computing. As engineering lead, hiring, guiding, and mentoring team members is essential and one of your most important responsibilities.
Roles and responsibilities
- Lead all aspects of development of differentiated new technologies and products to solve customer system level problems, create value add solutions and establish Aspinity as technology leader
- Champion a system solution mindset and collaborate with internal stakeholders to create and deliver product roadmaps that support revenue growth targets and financial objectives.
- Create and evangelize a compelling technical vision for value-add system solutions based on differentiated products and drive internal and external alignment to that vision
- With minimal supervision, you will be working in a cross-collaborative, fast-paced team, making positive change possible.
- Leverage market and customer system understanding to create a semiconductor solution strategy and drive growth.
- Collaborate with marketing to define market and system solution requirements and highlighting key semiconductor product opportunities.
- Translate compelling system solutions and market requirements into key solution specifications.
- Engage with ecosystem partners to develop compelling system solutions based on Aspinity technology.
- Lead the engineering function across all market segments.
- Lead product planning and development teams to ensure products meet critical customer specifications and timelines.
Qualifications
- Skills and Experience -- Deep market knowledge and experience defining and deploying winning solutions in Edge Computing, IoT, Automotive, or ML/AI across multiple markets segments.
- Experience with product definition, defining and developing system architecture and solutions, customer interface and winning major customer platforms is a must.
- Demonstrated ability to formulate, communicate and execute technology roadmaps and strategies from the ground-up.
- Significant operating experience (10+ years) leading product engineering and system architecture functions in semiconductor, embedded, or ML/AI areas across multiple market segments.
- Significant work experience and a proven record of defining, developing and commercializing novel and differentiated technologies and system solutions.
- Leadership – Passionate, positive, enthusiastic, and collaborative
- Excellent cross-functional leadership, motivational and communication skills
- Proven record of attracting, mentoring, and retaining top industry talent and building high performing teams.
- Demonstrated ability to rapidly build an in-depth technical and market understanding across a breadth of semiconductor technologies and market segments.
- BS or MS Degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent field of study preferred.
Other information
- Located in Pittsburgh, PA (preferred)
