Machine Learning - Staff Engineer

Key Skills

Aartificial intelligence, C Programming, C++, C++11 Programming, C++17 Programming, Design, Machine learning techniques, Natural Language Processing (NLP), Optimization, Python Programming, SoC integration

Job Description

Key Responsibilities:

• Ability to multitask in a quick paced environment.
• Interface with different external customers on behalf of the larger team situated across various geographies.
• Capability to comprehend customer requirements and accurately translate/disseminate them within the development/test teams.
• Define tasks and create work breakdown including estimation of tasks.
• Work with various stakeholders identified above to deliver commitments to meet different customer milestones.
• Contribute to continuous development of the existing processes to improve team productivity.

Minimum Qualifications:

• Hands-on experience with software engineering with system level design and architecture experience.
• 5+ years development experience with Programming Language such as C, C++, Python, etc..
• Professional work experience in embedded software, driver development, and/or systems engineering on SoCs using Linux/Android/QNX/ etc.
• Hands on knowledge of any RTOS and in-depth knowledge of the operating system concepts and fundamentals.
• Experience with SoC architectures, heterogenous IPs in SoCs, distributed compute paradigms, high-speed interconnects (PCIe, CCIX etc.), peripheral busses(SPI,USB,I2 etc).
• Experience with industry standard software development tools: HSW/HE debuggers, code revision systems (GIT, Gerrit, Perforce), IDEs and build tools.
• Experience in coordination cross development and technology teams and test engineering
• Experience with low level software/ interface and debugging.
• Excellent communication skills (written and verbal) and team player
• Should be self-motivated and self-driven.
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related fields.

• Overview:

  Qualcomm AI/ML SW team is currently seeking a software engineer to commercialize our Inference Accelerator solution across various Automotive ADAS customers. Candidate would be expected to work with multiple stakeholders, both internal and external and bridge the gap from developing world class software to delivering them seamlessly to successfully enable timely deployment of ADAS solution for all the stakeholders.

• Software expertise at the architecture, design and implementation levels.
• Experience with SoCs in areas such as multi-core CPU. MMU/SMMU, virtualization, etc.
• Experience in BSP development & low level device driver programming, boot optimizations.
• Experience in bottoms-up and top-down based on analysis of E2E use cases
• Experience with software development processes such as Automotive ASIL-A/B, a plus
• Experience in Machine learning an added plus.
• Familiar with Modern OO design practices, such as C++11/17, a plus
• Experience in designing, implementing, and reviewing code for performance and security.

Master's degree in Engineering, Information Systems, Computer Science, or related fields

Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport 

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.