Software Gigs

Lead ADAS R&D software engineering efforts for autonomous vehicle perception and decision systems at Qualcomm. Design, develop, and optimize embedded software blocks including deep-learning-based camera perception, lidar/radar perception, multi-sensor fusion, object tracking, behavior prediction, trajectory planning, and vehicle control. Develop efficient middleware for sensor data sharing and SDKs enabling customer proof-of-concepts. Requires Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field plus 7 years of related experience.

Lead a specialized team of software engineers developing innovative Pixel sensor experiences at the intersection of hardware, software, and AI. You will drive the design and implementation of real-time embedded systems that process sensor signals efficiently while applying machine-learning and signal-processing algorithms in a power-optimized manner. Required: 8 years software development experience, 5 years in computer vision or signal processing, 5 years leading ML design and infrastructure optimization, and 3 years technical leadership. This role demands deep expertise in embedded software, AI/ML algorithms, sensor fusion, and the ability to independently architect systems while managing a team.

Senior Systems Software Engineer role at Saronic Technologies focused on designing, developing, and optimizing software systems for autonomous surface vessels. Responsibilities include implementing autonomous navigation and control algorithms, integrating software with hardware systems, optimizing network communications for low-bandwidth/high-latency environments, and conducting software testing and validation. The role requires 3+ years (Senior) or 8+ years (Staff) of software engineering experience, preferably in autonomous systems or robotics, with proficiency in C/C++ or Rust, embedded Linux systems, and knowledge of low-level protocols and networking principles.

Design, develop, and maintain software systems for autonomous surface vessels using NixOS, embedded Linux, and low-level protocols. Implement control algorithms and sensor fusion, optimize network communications for bandwidth-constrained maritime environments, and collaborate with hardware engineers to integrate software with vessel systems. Requires 3+ years (Senior) or 8+ years (Staff) of software engineering experience, proficiency in C/C++ or Rust, strong embedded systems knowledge, and familiarity with protocols like CAN and TCP/IP.

Design, develop, and maintain software systems for autonomous surface vessels using NixOS, embedded Linux, and low-level protocols. Implement algorithms for autonomous navigation, controls, and sensor fusion while optimizing network communications for maritime environments with low bandwidth and high latency. Collaborate with hardware engineers to integrate software with vessel systems and conduct rigorous testing and validation in real-world conditions. Candidates must have 3+ years of software engineering experience (senior level) or 8+ years including architecture and platform leadership (staff level), with proficiency in C/C++ or Rust and strong understanding of embedded systems, networking, and control systems.

Lead architecture, design, and development of XR platform software (AR/VR/MR) on Snapdragon platforms, working across system architecture, embedded software, graphics, AI/ML, and computer vision. Translate product requirements into implementation specifications, drive architectural trade-offs for performance and power efficiency, and provide technical leadership across multiple teams. Requires strong C++ proficiency, experience with heterogeneous computing systems (CPUs, GPUs, DSPs, AI accelerators), Android/Linux embedded platforms, and 8+ years of software engineering experience.

Qualcomm seeks a Principal Engineer to lead the architecture, design, and development of XR platform software (AR/VR/MR) on Snapdragon platforms. The role requires deep expertise in C++, heterogeneous computing (CPUs, GPUs, DSPs, AI accelerators), Android/Linux embedded systems, and system-level performance optimization. Responsibilities include defining platform requirements, conducting architecture trade-offs for power/latency/performance, collaborating with computer vision and AI/ML teams, and driving technical decisions across multiple product areas. The ideal candidate brings commercial product experience and expertise in computer vision, graphics, SLAM, sensor fusion, or XR frameworks.