Sr. Software Engineer, Embedded & Edge AI MCU

Description

Synaptics is leading the charge in AI at the Edge, bringing AI closer to end users and transforming how we engage with intelligent connected devices, whether at home, at work, or on the move. As the go-to partner for the world’s most forward-thinking product innovators, Synaptics powers the future with its cutting-edge Synaptics Astra™ AI-Native embedded compute, Veros™ wireless connectivity, and multimodal sensing solutions.

We’re making the digital experience smarter, faster, more intuitive, secure, and seamless. From touch, display, and biometrics to AI-driven wireless connectivity, video, vision, audio, speech, and security processing, Synaptics is the force behind the next generation of technology enhancing how we live, work, and play.

Overview

Synaptics is looking for a Sr. Software Engineer to develop software for the Astra® SR Series of embedded processors. These AI-native SoCs are optimized for multi-modal Consumer and Industrial IoT workloads, featuring high-performance compute engines, multi-TOPS NPU, GPU, and accelerators for vision, audio, security, and video. You’ll help enable edge-based inferencing on secure, graphics-rich platforms. This full-time position reports to the Sr. Manager, Software Engineering.

Responsibilities & Competencies

Job Duties

• Develop device drivers for Display / GPU / Camera / HDMI / MIPI for the Astra MCU processor series
• Develop embedded firmware that runs on different MCU platforms; design and optimize the systems for low power, memory usage and low MIPS.
• Work closely with HW & SW Architects to translate requirements into design and implementation, integrate with other FW / SW teams / members & mature the solution with QA teams
• Developing cutting edge solutions for the various consumer electronics markets and technologies utilizing sensors, audio & vision to enable always-on sensing

Competencies

Qualifications (Requirements)

Belief in Diversity

Synaptics is an Equal Opportunity Employer committed to workforce diversity. Qualified applicants will receive consideration without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, or genetic information.