8 Rtw Jobs

Project description The ideal candidate will have a strong background in compiler development, with a minimum of 3 years of experience in the field. He / She will be responsible for contributing to the development and optimization of our compilers, with a focus on enhancing performance and functionality. Experience with open-source development, particularly with GCC and/or LLVM, is highly preferred. Responsibilities Design, develop, and optimize compiler components for AOCC, focusing on performance improvements and new feature implementation. Collaborate with cross-functional teams to integrate compiler enhancements into the overall software ecosystem. Participate in code reviews, providing constructive feedback to peers and ensuring high-quality code standards. -Contribute to open-source projects, particularly GCC and/or LLVM, by submitting patches, reviewing code, and engaging with the community. Analyze and resolve complex compiler-related issues, ensuring robust and efficient solutions. Stay updated with the latest advancements in compiler technology and incorporate relevant innovations into AOCC products. Document development processes, technical specifications, and user guides to facilitate knowledge sharing and product support. Skills Must have 3+ years of experience in compiler development or a related area. Proven experience with open-source development, preferably with GCC and/or LLVM. Strong programming skills in C/C++ and familiarity with other programming languages. Solid understanding of compiler design principles, optimization techniques, and code generation. Experience with performance analysis and profiling tools. Excellent problem-solving skills and the ability to work independently and collaboratively. Strong communication skills, both written and verbal, with the ability to convey complex technical concepts to diverse audiences. Nice to have Experience with parallel programming models such as OpenMP. Familiarity with performance benchmarking tools like SPEC CPU2017. Knowledge of modern processor architectures and instruction sets.

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours’. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay 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 Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours’. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay 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 Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

We are looking for a highly skilled Model Based Development Professional with 6 to 7 years of experience. The ideal candidate will have a strong background in model-based development and be able to work effectively in a team environment. Roles and Responsibility Develop and implement complex models using various modeling tools and techniques. Collaborate with cross-functional teams to identify and prioritize project requirements. Design and develop data validation and verification protocols to ensure accuracy and reliability. Troubleshoot and debug issues related to model development and implementation. Provide technical guidance and support to junior team members. Participate in code reviews and contribute to the improvement of the overall code quality. Job Requirements Strong knowledge of modeling languages and technologies, such as MATLAB/Simulink or Python. Experience with model-based development methodologies and tools. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Ability to work in a fast-paced environment and meet deadlines. Familiarity with version control systems, such as Git.

Notice Period: Immediate to 15 Days Employee type: Contract to Hire Should have experience in Model based development with relevant experience architecting and designing models in MATLAB, optimization and target code generation using TargetLink. Also have relevant deriving test strategy from the requirements. Job Responsibilities Responsible for design and development of Simulink, TargetLink models as per the guidelines with good software engineering practices. Analysis and implementation of functional changes Should have experience in Model based development with relevant experience architecting and design models in MATLAB, optimization and target code generation using TargetLink. Also have relevant deriving test strategy from the requirements. Application software/function test and development: Creating SW using Model Based Development. Writing Functional Test Specifcation Expected Skills: Matlab Simluink Targetlink Floating Point Calucaltion Polysapce Tessy Test Weaver Test Spec Model Based SW Developer with Experience in (a) Implementation & validation of functions in Model based environment (Eg: Matlab) (b) Autocode Generation (Eg: TargetLink) (c) Unit Testing at module/functional level (Eg: MiL/SiL)

Project description The ideal candidate will have a strong background in compiler development, with a minimum of 3 years of experience in the field. He / She will be responsible for contributing to the development and optimization of our compilers, with a focus on enhancing performance and functionality. Experience with open-source development, particularly with GCC and/or LLVM, is highly preferred. Responsibilities Design, develop, and optimize compiler components for AOCC, focusing on performance improvements and new feature implementation. Collaborate with cross-functional teams to integrate compiler enhancements into the overall software ecosystem. Participate in code reviews, providing constructive feedback to peers and ensuring high-quality code standards. -Contribute to open-source projects, particularly GCC and/or LLVM, by submitting patches, reviewing code, and engaging with the community. Analyze and resolve complex compiler-related issues, ensuring robust and efficient solutions. Stay updated with the latest advancements in compiler technology and incorporate relevant innovations into AOCC products. Document development processes, technical specifications, and user guides to facilitate knowledge sharing and product support. Skills Must have 3+ years of experience in compiler development or a related area. Proven experience with open-source development, preferably with GCC and/or LLVM. Strong programming skills in C/C++ and familiarity with other programming languages. Solid understanding of compiler design principles, optimization techniques, and code generation. Experience with performance analysis and profiling tools. Excellent problem-solving skills and the ability to work independently and collaboratively. Strong communication skills, both written and verbal, with the ability to convey complex technical concepts to diverse audiences. Nice to have Experience with parallel programming models such as OpenMP. Familiarity with performance benchmarking tools like SPEC CPU2017. Knowledge of modern processor architectures and instruction sets. Other Languages EnglishB2 Upper Intermediate Seniority Regular

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours’. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay 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 Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours’. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay 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 Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges