Company:
Qualcomm India Private Limited
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
Machine Learning Software Lead
Job Description As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. We are seeking ambitious, bright, and innovative engineers with experience in machine learning framework development. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction daily so good communication, planning and execution skills are a must.
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.
· Build software tools and ecosystem around AI SW Stack.
· Apply knowledge of software engineering best practices.
Desirable Skills and Aptitudes
· Deep Learning experience or knowledge – LLMs, Natural Language Processing, Vision, Audio, Recommendation systems.
· Knowledge of the structure and function of different components of Pytorch, TensorFlow software stacks.
· Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design.
· Ability to work independently, define requirements and scope, and lead your own development effort.
· Knowledge of the different accuracy techniques and hands on exposure on improving neural network accuracy across different precisions.
· Avid problem solver – should be able to find solutions to key engineering and domain problems.
· Excellent communication skills (written and verbal) and team player.
· Experience of profiling software and optimization techniques.
· Experiences to run workloads on large scale heterogeneous clusters is a plus.
· Hands-on experience with CUDA, CUDNN is a plus.
· Experience with software development processes such as Automotive ASIL-A/B, a plus.
Qualifications:
· Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
· 8+ years Software Engineering or related work experience.
· 5+ years’ experience with Programming Language such as C++, Python.
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.
Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email toaccommodationsupport
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 herefor 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.
To all Staffing and Recruiting Agencies:Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.
