Machine Learning - Staff Engineer

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Seeking a software engineer to commercialize our Inference Accelerator solution across Automotive ADAS customers. Work with multiple stakeholders to successfully enable timely deployment of ADAS solution. Experience in software architecture, design, implementation, and Automotive ASIL-A/B processes.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

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

Set alert for similar jobsMachine Learning - Staff Engineer role in Bangalore Urban, India

Company

Qualcomm

Job Posted

a year ago

Job Type

Full-time

WorkMode

On-site

Experience Level

0-2 years

Locations

Bangalore Urban, Karnataka, India

Qualification

Master

Applicants

Be an early applicant

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