Senior Vice President of Engineering, Tensordyne
Next-generation AI inference systems
Job no longer available
Next-generation AI inference systems
101-200 employees
Job no longer available
101-200 employees
Company mission
To build AI math, chips, hardware, and software from the zeroth layer up, rewriting the numbers so intelligence flows with a fraction of today's energy and cost.
Role
Who you are
- 10+ years of demonstrated success in managing a high functioning engineering team - coaching, developing, and elevating team skill sets
- Demonstrated track record of successfully managing ambitious, strategic, and operationally complex projects with internal and external cross-functional teams
- Strong communication, interpersonal, and leadership skills to work with both engineering and non-technical stakeholders
- Analytical, big picture thinker with ability to influence senior executives and cross-functional teams
- Experience managing successful end-to-end lifecycle of technical projects
- Strong technical aptitude and knowledge
- Bachelor's degree or higher in Engineering, a related field, or equivalent practical experience
- Ability to work under pressure and deliver to deadlines
- Experience directly managing a small team
- Deep knowledge and/or experience in or more of the following areas highly desired:
- ADAS (Advanced Driver Assistance Systems) or other Automotive technologies
- Experience managing the design and development of products that contain both HW & SW
- ASPICE
- Functional Safety ISO 26262
- AI/ML (Artificial Intelligence / Machine Learning)
- Manufacturing and product quality processes, data systems, and tools
- Manufacturing equipment automation
- SMART Project/Program Management, environment challenges, and improvement initiatives
- Experience in areas such as release management, cost modeling, or capacity planning
What the job involves
- We are looking for an experienced Sr. VP of Engineering to lead and manage the Engineering team for Recogni. This position reports directly to the Head of Engineering
- As the Sr VP of Engineering, you will play a critical role driving organizational clarity, product development and alignment across multiple teams, functions, and geographies to ensure timely successful execution of key corporate programs
- The responsibilities of the Sr. VP of Engineering position include leading and mentoring mid-level directors and managers who in turn manage various skill sets of engineers, operations, and technicians, collaborating with product managers, and improving company policies, procedures and standards for predictable R&D execution
- You will be tasked with building a world-class engineering department
- We will utilize your experience to grow, mentor, and establish better practices for our engineering teams (software and hardware) specifically regarding our design practices, CI/CD and infrastructure tooling, product testing, engineering documentation, and ultimately creating a culture of engineering excellence
- Our team's success is dependent on your ability to contribute to our innovative product vision and combine engineering expertise with project management execution
- Your talent and expertise in design will be crucial for positive outcomes. Your satisfaction will come from your ability to keep up with and enjoy the high pace of a rapidly growing company
- You will be leaned upon to ensure your organization provides top-tier engineering design and operations that meet production, quality, and desired company standards
- Travel Required: 25-50%
Our take
The AI industry is growing fast, but it's also running into a big problem: power. LLMs need huge amounts of energy, adn the more compute you add, the higher the costs and technical challenges. Hyperscalers, cloud providers, and AI startups all face the same question, how to scale AI efficiently without wasting power. And the search for smarter, more efficient solutions is becoming critical.
Tensordyne, formerly Recogni, began as a maker of automotive edge chips but quickly pivoted to focus on data center AI. The team realized that the future of AI would be defined by large-scale inference, where efficiency and scalability matter most. Their approach goes beyond hardware tweaks, using a logarithmic math system that slashes energy use while improving accuracy, making AI faster, cheaper, and more sustainable.
LLMs and data center AI are consuming massive amounts of power, and this is becoming a real concern. Tensordyne's efficient hardware and innovative logarithmic math can cut energy use drastically while keeping performance high, helping ensure AI can grow sustainably without overloading costs or the environment.
Freddie
Company Specialist at Welcome to the Jungle
Insights
6% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Feb 2024
$102m
SERIES C
Feb 2021
$48.9m
SERIES B
Total funding: $175.9m
Company HQ
Sunnyvale, CA
Leadership
RK Anand
(Co-Founder & CPO)RK comes from a Computer Engineering background and has gained extensive experience in managing and founding multiple technology enterprises.
Marc Bolitho
(CEO)Marc previously spent over 6 years at ZF Group in various roles, including Senior VP and GM of ADAS Business Unit. Prior to that, he spent nearly 22 years at TRW Automotive in roles including Chief Engineer and GM and Engineering DIrector of Global Passive Safety Electronics.
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