Principal Engineer
SiMa.ai
Principal Engineer
SiMa.ai
No-code edge ML platform with MLSoC
Job Title: Principal Engineer, MLSoC - Emulation
Job Location: San Jose, CA (This position requires a full-time, on-site presence in our San Jose, CA office)
Job ID: AI2564
Description:
As an Emulation Engineer, you will be responsible for bringing up SiMa.ai’s MLSoC design on emulation platforms (Zebu/Palladium/Veloce etc..). Your responsibilities would include setting up the emulation environment, compile design, setup runtime environment, and bring up. You will be actively working with the Architecture, RTL design, verification and software teams.
Key Responsibilities:
Minimum Qualifications:
Personal attributes:
Can-do attitude. Strong team player. Curious, creative and good at solving problems. Execution and results-oriented. Self-driven, Thinks Big and is highly accountable. Good communication skills.
The annual salary for this position ranges from $203,800 - $315,900. 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: 203800 to 315900 (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.
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