Analytical and Problem solving, Design, Effective communication skills, Machine learning techniques, SoC integration
SiMa.ai is looking for a MTS Field Applications Engineer to join our leading machine learning software and semiconductor company and be responsible for pre- and post-sales support in the United States. Pre-sales tasks include winning designs using SiMa.ai’s Software Development Kit (SDK) and MLSoCTM devices, delivering technical presentations, demonstrating SiMa.ai’s technologies and working closely with the extended SiMa.ai team to drive design wins. Post-sales tasks include assisting customers with their designs, training customers, assisting with design conversions, providing benchmarks, and working with other SiMa.ai teams to improve the overall customer experience.
FAE Scope and Key Responsibilities
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 $175000 to $225000 plus variable incentive (MBO/sales-commission). 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