Technical Director of Quality and Reliability
SiMa.ai
Technical Director of Quality and Reliability
SiMa.ai
No-code edge ML platform with MLSoC
Job Title: Technical Director Quality and Reliability
Job Location: San Jose, CA (This position requires a full-time, on-site presence in our San Jose, CA office)
Job ID: AI2559
Job Description
SiMa.ai is looking for a Technical Director of Quality and Reliability to lead all Quality and Reliability aspects related to our MLSoCTM silicon and board-level products (SoM, PCIe cards, DevKits, etc.), including Product Quality & Reliability, Customer and Supplier Quality, the QMS, and Environmental & Regulatory Compliance.
Areas of focus and key responsibilities (include, but not limited to):
Required Background:
Desired Qualifications and Skills:
Personal Attributes
The annual salary for this position ranges from $196,435 - $304,470. The actual annual salary offered will depend on several factors, including - among others - job-related skills, experience, technical expertise, qualifications, work location, and business needs. The annual salary range for this position is subject to change and may be adjusted in the future.
In addition to base salary, this role is also eligible for private company equity, and a comprehensive package of employee benefits. Please note that the salary ranges listed for U.S. roles reflect base salary only and do not include equity or other forms of compensation.
EEO Employer: SiMa 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.
Compensation: 196435 to 304470 (USD) (Annually)
SiMa.ai provides a no-code, drag-and-drop environment for building, training, and deploying machine learning models on edge devices. Its platform lets users visually assemble ML solutions without writing code, and runs on its own MLSoC silicon designed for edge computing to reduce latency and speed up inference close to data sources. The product works by combining the no-code development tools with specialized edge-ready hardware, enabling deployment of ML applications such as computer vision on edge devices. SiMa.ai differentiates itself from competitors by pairing a purpose-built MLSoC with an integrated no-code development platform, plus an ecosystem of a developer portal, expert consulting, and a partner program to accelerate AI innovations at the edge. The company aims to broaden access to edge ML, helping individuals and organizations deploy efficient AI at the edge across various industries.
Explore more opportunities at SiMa.ai