Sales Engineer, Tenstorrent
$100-500k
+ Variable compensation
Office located in Santa Clara, CA
Building computers for AI
Job no longer available
Building computers for AI
501-1000 employees
Job no longer available
$100-500k
+ Variable compensation
Office located in Santa Clara, CA
501-1000 employees
Company mission
To bring unique solutions to the problems facing AI and machine learning.
Role
Who you are
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
- Strong customer-facing skills with 2+ years of relevant technical, customer-facing experience (such as Sales Engineer, Solutions Engineer, or Technical Account Manager)
- Strong proficiency in programming languages, particularly Python
- Proven expertise in AI technologies, including machine learning, deep learning, natural language processing (NLP), and/or computer vision
- Understanding of AI/ML frameworks such as PyTorch and TensorFlow, with expertise in Generative AI and LLM applications preferred
- Excellent communication skills, both verbal and written, with the ability to explain complex concepts in a clear and concise manner
- Passion for innovation and a proactive attitude towards learning and adopting new technologies
- This role is hybrid, based out of Santa Clara, CA
- We welcome candidates at various experience levels for this role
What the job involves
- As a Sales Engineer, you will collaborate closely with the sales team and customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions
- You will be responsible for articulating the technical value of our offerings, conducting product demos, and addressing customer technical requirements. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders
- Pre-sales Support: Partner with the sales team to understand customer needs, tailor solutions, and deliver technical presentations that clearly explain the capabilities and benefits of our AI solutions
- Customer Engagement: Engage directly with customers in meetings, presentations, and workshops to understand their technical challenges and provide effective solutions
- Technical Consultation: Provide technical guidance and support during the sales cycle, ensuring that proposed solutions meet customer requirements and align with their business objectives
- Solution Design: Assist customers in defining and designing AI-driven solutions that integrate seamlessly with their existing systems and workflows
- Documentation & Reporting: Prepare technical documentation, including solution architectures, technical proposals, and requirements gathering reports
- Collaboration: Work closely with the customer success engineering, sales operations and product teams to provide feedback from customers and help shape future product enhancements
Application process
- During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting
Our take
Advances in artificial intelligence apps, combined with a global chip shortage, are strong tailwinds for chip processor Tenstorrent. The semi-conducter developer is designing specialized chips for running artificial intelligence applications, building chips for what it calls "software 2.0".
The company’s unique approach is to build for this future software, which it believes will be written at a higher level. Combining this with conditional computing, Tenstorrent supports a scalable distributed network approach that is analogous to a human brain.
While the market for specialised AI hardware is destined to be gigantic, the company has to compete with a plethora of hopeful startups (as well as major tech companies like NVIDIA and Qualcomm). That said, Tenstorrent boasts an excellent trajectory so far, with its latest moves including unveiling its high-end Wormhole AI processors, and a partnership with LG which will see the development of chips for "Affectionate Intelligence".
Kirsty
Company Specialist at Welcome to the Jungle
Insights
52% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Dec 2024
$700m
SERIES D
Jun 2024
$300m
LATE VC
Total funding: $1.3bn
Company HQ
Flemingdon Park, Toronto, ON
Leadership
Jim Keller
(CEO)Previously Senior VP of Silicon Engineering at Intel Corporation, VP of Autopilot Hardware Engineering at Tesla, Corporate VP and Chief Architect at AMD, and VP of Engineering at Apple.
Milos Trajkovic
(Co-Founder & Director of Hardware Engineering)Former Manager of Firmware Design Engineering at AMD, and FPGA design engineer at Signum Concepts.
Ivan Hamer
(Co-Founder)Former Consulting Software/Embedded Engineer at AMD, and Senior Software Developer at iNTERFACEWARE.
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