54 Code Generation Jobs - Page 3

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: JD for Cloud Machine Learning LLM Serving Staff engineer Job Overview: The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive market. 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 Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs. Analyze and identify system level issues, interface with the software development, integration, and test teams Lead high performing teams towards system design and deliverables. Proven track record of leading teams in Machine learning software engineering. Strong foundation of Mathematical modeling of problems and linear algebra, coupled with state of the art algorithms in ML/AI space. Improve and optimize key Deep Learning models on Qualcomm AI 100. Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories. Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning. Build software tools and ecosystem around AI SW Stack. Work on vLLM, Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator. Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems. Optimize the entire deep learning pipeline including graph compiler integration. 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. Well versed with open-source development practices. Strong developer with a research mindset- strives to innovate. Avid problem solver- should be able to find solutions to key engineering and domain problems. Knowledge of tiling and scheduling a Machine learning operator is a plus. Experience in using C++ 14 (advanced features) Experience of profiling software and optimization techniques Hands on experience writing SIMD and/or multi-threaded high-performance code is a plus. Experience of ML compiler, Auto-code generation (using MLIR) is a plus. Experiences to run workloads on large scale heterogeneous clusters is a plus. Hands-on experience with CUDA, CUDNN is 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. 8+ years experience with Programming Language such as C++, Python. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). 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 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.

About The Role 3+ yrs. experience in MATLAB, Target Link, state flow, TPT, MXAM - C, C++ Programming, Autosar experience. - Working knowledge of ASPICE Quality Process, ASIL, Autosar Development and Test Methodology - Demonstrated experience in requirements management. - Expert in model architecture, design and model Optimization, Model Variant Management - Expert in code generation optimization using TargetLink - Using Code generation features like Modules, Functions to make Reusable libraries and Unit testing them, Model Referencing, Incremental Code Generation, bus objects - Design Models from RequirementsModular, Unit Testable, Reusable, Replaceable, Scalable. - Embedded C language and Target Link, mScripts - MAAB Guidelines, MXAM , MXRAY - PVCS/SVN/MKS version manager - Experience working with TPT for testing with requirement management. - Experience using TPT Requirement traceability till TestCase, TestSteps. - Canoe Testing Experience - Good mathematical, analytical and communication skills. -Good to have Python scripting language knowledge - Know how on Agile Frameworks and toolsScrum/Kanban, JIRA, Confluence, TMX, R4J Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. About The Role - Grade Specific Is fully competent in it's own area and has a deep understanding of related programming concepts software design and software development principles. Works autonomously with minimal supervision. Able to act as a key contributor in a complex environment, lead the activities of a team for software design and software development. Acts proactively to understand internal/external client needs and offers advice even when not asked. Able to assess and adapt to project issues, formulate innovative solutions, work under pressure and drive team to succeed against its technical and commercial goals. Aware of profitability needs and may manage costs for specific project/work area. Explains difficult concepts to a variety of audiences to ensure meaning is understood. Motivates other team members and creates informal networks with key contacts outside own area. Skills (competencies) Verbal Communication

Dear candidate, We are looking forModel Based Development Lead for eVCU application Software for Bus and LCV Exp .: 10 to 16 yrs Location : Chennai Model based development of Application Software Control functions for Electric Vehicle Controller using Matlab/Simulink Auto code generation, Model in the Loop testing, Software in the Loop testing for eVCU application software Verification in the Hardware In the loop testing for eVCU application software Interact with Other Stake holders of the project related to application software Experience in Model-Based Function Design and V-Cycle Software Development Process

An AI Data Scientist at IBM is not just a job title – it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred o Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments