C Programming, C++, Computer Vision (CV), DSPs, Effective communication skills, Machine learning techniques, OpenCL, OpenCV, Python Programming, SoC integration
As Principal SW Engineer, DSP and Computer Vision, you will be a key member of the MLSoC Platform Software team and will help with the software development effort for our Machine Learning SoC (MLSoC™) targeted for the embedded edge market. You will work closely with the software team to design and implement key components for MLSoC software releases. Your efforts will directly impact our customers in their ability to estimate, analyze and optimize their applications on our SoC.
Areas of focus: Design, implement and test key video processing components of the MLSoC software. Contribute to the overall architecture effort in the process by suggesting SW enhancements that increase performance and decrease power consumption, thus achieving best in class MLSoC performance in the industry.
Key Responsibilities (including but not limited to):
Required Background:
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 $220,000 - $275,000. The actual annual salary paid for this position will be based on several factors, including but not limited to, skills, prior experiences, qualifications, expertise, work location, total target compensation, training, company needs, and current market demands. The annual salary range for this position is subject to change and may be adjusted in the future.
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.
SiMa.ai stands as a pioneering machine learning company, offering the first-of-its-kind software-centric MLSoC platform designed with a specific purpose. Our platform ensures seamless deployment and scaling of machine learning at the embedded edge, providing customers with the ability to tackle any computer vision challenge with the added advantage of achieving 10 times better performance at the lowest power consumption. Initially concentrating o