Software Engineer C++

Job Information

• Location: Zug
• Workload: Full-time

Your tasks

• Implement state-of-the-art embedded computer vision algorithms for wearable devices, including SLAM, tracking, mapping, scene understanding and AI.
• Analyze, design, develop, and debug embedded perception stack for a wide variety of AR and VR devices, including novel sensing and imaging systems, haptic devices, and audio prototypes
• Be a go-to person to escalate the most complex development, performance and evaluation issues that require in-depth knowledge of product-focused firmware development
• Play a critical role in the definition and execution of long-term roadmaps in partnership with silicon architects, hardware designers, OS team, and algorithm and model development teams
• Support all phases of hardware development – including early architecture requirements definition for custom silicon, firmware architecture, implementation, simulation, FPGA debug, chip bring up and support systems and software teams on algorithm development on validated systems
• Collaborate across an interdisciplinary team of researchers and engineers to optimize solutions at the systems level (sensor hardware, data collections, training, evaluation, real-time inference)
• Design and implement multi-modal models that combine cameras with other sensors, including IMUs and neural interfaces

Your profile

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 4+ years’ experience in C/C++ for development, debugging, testing and performance analysis
• Demonstrated expertise in one or more of the following areas - camera and video pipelines, graphics pipelines, encoding technologies, power management, or prototyping and pre-silicon environments (FPGAs, simulation, emulation)

Preferred Qualifications

• MSc or PhD in relevant field Experience in low-level / embedded Computer Vision, Machine Learning, Deep Learning or AI.
• Experience working with embedded hardware platforms and exposure to concepts such as clock-level issues, interrupts, and polling
• Experience building software for embedded systems or custom SoCs Demonstrated expertise in developing with modern
• Real Time Operating Systems Experience leading complex features or projects across multiple cross-functional teams

Benötigte Skills

• Hardware
• Support
• Testing
• Video
• Machine Learning
• C
• C++
• Embedded
• Bachelor
• Master