Technical Compute Qualification Manager Jobs

Software Engineer Job Description About the Role: We are seeking a talented and motivated Software Engineer to join our dynamic team. As a Software Engineer, you will play a crucial role in designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to deliver innovative products that meet the needs of our users. Responsibilities: Design, develop, and implement software solutions using various programming languages and technologies. Write clean, efficient, and well-documented code. Conduct thorough testing and debugging to ensure software quality. Collaborate with other team members to brainstorm ideas and solve problems. Stay up-to-date with the latest technologies and industry trends. Participate in code reviews and provide constructive feedback. Troubleshoot and resolve technical issues. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. Strong programming skills in at least one of the following languages: Java, Python, C++, or JavaScript. Experience with software development methodologies (Agile, Scrum, etc.). Knowledge of database systems (SQL, NoSQL). Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Experience with cloud platforms (AWS, Azure, GCP) is a plus. What We Offer: Competitive salary and benefits package. Opportunities for professional growth and development. A collaborative and supportive work environment. The chance to work on cutting-edge projects. If you are passionate about technology and want to contribute to innovative projects, we encourage you to apply. To Apply: Please submit your resume and cover letter to [email protected] Please note that this is a general job description and may vary based on the specific requirements of the company and role.

Software Engineer Job Description About the Role: We are seeking a talented and motivated Software Engineer to join our dynamic team. As a Software Engineer, you will play a crucial role in designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to deliver innovative products that meet the needs of our users. Responsibilities: Design, develop, and implement software solutions using various programming languages and technologies. Write clean, efficient, and well-documented code. Conduct thorough testing and debugging to ensure software quality. Collaborate with other team members to brainstorm ideas and solve problems. Stay up-to-date with the latest technologies and industry trends. Participate in code reviews and provide constructive feedback. Troubleshoot and resolve technical issues. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. Strong programming skills in at least one of the following languages: Java, Python, C++, or JavaScript. Experience with software development methodologies (Agile, Scrum, etc.). Knowledge of database systems (SQL, NoSQL). Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Experience with cloud platforms (AWS, Azure, GCP) is a plus. What We Offer: Competitive salary and benefits package. Opportunities for professional growth and development. A collaborative and supportive work environment. The chance to work on cutting-edge projects. If you are passionate about technology and want to contribute to innovative projects, we encourage you to apply. To Apply: Please submit your resume and cover letter to [email protected] Please note that this is a general job description and may vary based on the specific requirements of the company and role.

Work Flexibility: Hybrid What you will do: Key Job Responsibilities · Develop and maintain automated test frameworks and test scripts. · Perform Functional, API, Integration, System, and Regression Testing. · Integrate automated tests into CI/CD pipelines. · Collaborate with Development, DevOps, and Product teams. · Analyze test failures, debug issues, and improve automation coverage. What You need: Experience · 4-6 years in Software Testing and Test Automation Educational Qualification · B.E./B.Tech/M.Tec in Computer Science, Information Technology, · Graduated from a reputed engineering institute such as VIT, NIT, IIIT, BITS Pilani, DTU, NSUT, Manipal, SRM, PSG, or an equivalent institution. Key Job Responsibilities · Develop and maintain automated test frameworks and test scripts. · Perform Functional, API, Integration, System, and Regression Testing.Integrate automated tests into CI/CD pipelines. · Collaborate with Development, DevOps, and Product teams.Analyze test failures, debug issues, and improve automation coverage. Required Technical Skills Programming Languages · Java, Python, C#, TypeScript Test Automation · Playwright, Selenium WebDriver, Appium, Postman, Cu

Zoox is looking for a manufacturing test engineer to be responsible for manufacturing testing of our sensors and ECUs used in our autonomous vehicle. In this role, you will be developing automated tests for critical components, including but not limited to lidars, cameras, radars, telematics, HV modules, sensor pod accessories, etc. You will work cross-functionally with our electrical engineering and software teams to develop and test new products and technologies. We are looking for an engineer who is curious, enthusiastic, and not afraid to embrace new technologies! The ability to work independently as well as organize work around schedules and critical deadlines is a definite plus. In this role, you will: Build, release & support test solutions for use on the manufacturing lines at Zoox and at contract manufacturing partners Develop testing scripts to verify functionality, control test instruments, capture test parameters, and analyze results for continuous improvement Implement adequate test coverage across all phases of manufacturing (PCBA, module, system, vehicle) through collaboration with other teams Release updated test programs for new generations of hardware and software Establish best practices and drive continuous improvement on test deployment, runtime, and yield Qualifications BS in electrical engineering, computer engineering, computer science, physics, or equivalent technical degree 8+ years of industry experience or equivalent Strong knowledge of Python and shell (bash) scripting Strong knowledge of testing and troubleshooting complex electronic assemblies in a manufacturing environment Experience in developing automated manufacturing tests on Linux. Ability to debug failures using commands in the terminal Strong verbal and written communication sk

Principal Engineer - Backend About Us: Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the role: As a Principal Engineer, you will help define the technical design and implementation roadmap across multiple solutions and will work with engineering leadership to ensure we resource and equip our squads with the right expertise to deliver those solutions. Requirements: 8 to 12 years of strong software design/development experience in building massively large scale distributed internet systems and products Hands on experience in Advance Java, Spring boot, AWS, Node, Agentic AI, LLM, RAG, Cursor, Copilot Experience and knowledge of open source tools & frameworks, broader cutting edge technologies around server side development Should be an active contributor to developer communities like Stack overflow, Top coder, Git hub, Google Developer Groups (GDGs). Superior organization, communication, interpersonal and leadership skills. Must be a self-starter who can work well with minimal guidance and in fluid environment. Preferred Qualifications : Bachelor's/Master's Degree in Computer Science or equivalent Skills that will help you succeed in this role: Expertise in Java, DB: RDBMS, Messaging: Kafka/RabbitMQ, Caching: Redis/Aerospike, Micro services, AWS Strong experience in scaling, performance tuning & optimization at both API and storage layers Problem

Zoox is looking for a manufacturing test engineer to be responsible for manufacturing testing of our sensors and ECUs used in our autonomous vehicle. In this role, you will be developing automated tests for critical components, including but not limited to lidars, cameras, radars, telematics, HV modules, sensor pod accessories, etc. You will work cross-functionally with our electrical engineering and software teams to develop and test new products and technologies. We are looking for an engineer who is curious, enthusiastic, and not afraid to embrace new technologies! Ability to work independently as well as organize work around schedules and critical deadlines is a definite plus. In this role, you will: Build, release & support test solutions for use on the manufacturing lines at Zoox and at contract manufacturing partners Develop testing scripts to verify functionality, control test instruments, capture test parameters, and analyze results for continuous improvement Implement adequate test coverage across all phases of manufacturing (PCBA, module, system, vehicle) through collaboration with other teams Release updated test programs for new generations of hardware and software Establish best practices and drive continuous improvement on test deployment, runtime, and yield Qualifications: BS in electrical engineering, computer engineering, computer science, physics, or equivalent technical degree 5+ years of relevant experience Strong knowledge of Python and shell (bash) scripting Strong knowledge of testing and troubleshooting complex electronic assemblies in a manufacturing environment Experience in developing automated manufacturing tests on Linux. Ability to debug failures using commands in the terminal Experience working with contract manu

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Summary: As a Principal Software Engineer at Appian, you will be the primary technical strategist, responsible for shaping the architectural foundation of our platform. Your role involves anticipating future challenges and implementing innovative solutions today. You will drive complex cross-functional initiatives, ensuring Appian remains a leader in the low-code and automation industry. Responsibilities: Define the long-term architectural vision and governance for the Appian platform. Identify systemic technical risks and lead task forces to resolve architectural bottlenecks. Develop internal tools and SDKs to simplify infrastructure and enhance developer productivity. Conduct deep-dive troubleshooting for complex production issues. Promote AI-native engineering practices and integrate AI features into the platform. Lead the development of core platform libraries and high-risk prototypes. Participate in the Architectural Guild and review high-impact design documents. Mentor lead and senior engineers, and represent Appian in the tech community. Ensure operational resilience with self-healing and highly available systems. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. 15+ years of software engineering experience, with significant experience in architecting large-scale distributed systems. Strong understanding of data structures, algorithms, and design patterns. Proven transformational leadership in technological migrations or strategies. Expertise in Java and Cloud-Native ecosyst

Who we are Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung. Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. Our 1,800 employees operate in 25 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients . What you will be doing As a Senior Data Scientist in our London office , your role will encompass: Designing and implementing advanced data science and machine learning solutions to solve complex business problems. Taking ownership of project streams, from defining technical deliverables and timelines to presenting updates to client steering committees. Supervising and mentoring team members on code, deployment, and best practices. Architecting and deploying robust, scalable solutions using modern cloud technologies and MLOps principles. Qualifications Necessary education and experience Education : A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field. Project & Team Leadership : Demonstrable experience supervising team members, taking responsibility for project delivery, defining technical tasks, and presenting project updates to both internal and client stakeholders. Advanced Modelling : Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference. ML-Ops & Orchestration : Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines. Programming & Data Engineering : Proficiency in objec

Job Details: Job Description: Performs functional verification of graphics logic components, including 3D graphics, media, and display, to ensure design will meet specification requirements. Defines and develops scalable and reusable IP verification plans, test benches, and architecture for verification environment to ensure coverage to confirm to graphics microarchitecture specifications. Executes verification plans and defines and runs system simulation models to verify the design, analyze power and timing, and uncover bugs. Replicates, root causes, and debugs issues in the presilicon environment. Finds and implements corrective measures to resolve failing tests. Collaborates with GPU architects, RTL developers, and physical design teams to improve verification of complex architectural and microarchitectural features and to meet functional, performance, and power goals. Documents test plans and drive technical reviews of plans and proofs with design and architecture teams. Maintains and improves existing functional verification infrastructure and methodology. Participates in the definition of verification infrastructure and related TFMs needed for functional design verification. Qualifications: You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum Qualifications: Bachelor Degree in Electronics, Computer Engineering or related engineering with 4+ year experience in silicon design development OR Master's Degree in Electronics, Com

Job Details: Job Description: Performs functional verification of graphics logic components, including 3D graphics, media, and display, to ensure design will meet specification requirements. Defines and develops scalable and reusable IP verification plans, test benches, and architecture for verification environment to ensure coverage to confirm to graphics microarchitecture specifications. Executes verification plans and defines and runs system simulation models to verify the design, analyze power and timing, and uncover bugs. Replicates, root causes, and debugs issues in the presilicon environment. Finds and implements corrective measures to resolve failing tests. Collaborates with GPU architects, RTL developers, and physical design teams to improve verification of complex architectural and microarchitectural features and to meet functional, performance, and power goals. Documents test plans and drive technical reviews of plans and proofs with design and architecture teams. Maintains and improves existing functional verification infrastructure and methodology. Participates in the definition of verification infrastructure and related TFMs needed for functional design verification. Qualifications: You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum Qualifications: Bachelor Degree in Electronics, Computer Engineering or related engineering with 3+ year experience in silicon design development OR Master's Degree in Electronics, Com

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities: Lead design readiness activities for new DRAM products, including risk assessments, DFMEA development, validation planning, and readiness reviews Partner with cross-functional teams to identify product risks, define validation coverage, and prioritize debug activities Drive root-cause investigations of silicon findings through data analysis, experiment planning, evidence review, and corrective action development Influence product readiness decisions by connecting design intent, validation results, silicon behavior, manufacturing constraints, and customer quality expectations Mentor engineers and help improve technical practices, readiness processes, and organizational learning across DRAM programs Minimum Qualifications: Advanced degree in Electrical Engineering, Computer Engineering, Semiconductor Engineering, Applied Physics, Materials Science, or a related technical field, or equivalent industry experience Significant experience in semiconductor design, DRAM or memory technology, silicon validation, product engineering, device characterization, circuit debug, reliability, test development, or new product introduction Proven ability to analyze sophisticated technical problems using silicon data, validation results, circuit behavior, failure analysis

The Autonomy Behaviors team is responsible for producing our vehicle’s driving trajectory. As a Principal ML Engineer, you will lead the technical development of machine learning algorithms for our next-generation ML Planner. Your impact will range from delivering innovations for immediate milestones to pioneering exploratory projects. You will collaborate closely with teams specializing in Foundation Models, Perception, Simulation, and Safety Validation, in influencing our autonomy stack. Your role will look at problems in a way that crosses team boundaries to prototype new approaches that influence the long term technical direction of multiple organizations within the company. In this role, you will: Set the technical direction of ML development for the future of our Planner Push the frontiers of imitation learning, reinforcement learning, and model scaling to develop new ML models for our onboard Planner Identify and drive force-multipliers for ML development, including metrics, data, and training frameworks Develop new methods to leverage Zoox’s Foundation Models into the ML Planner Provide technical mentorship to the broader group of ML developers at Zoox Collaborate with engineers across Autonomy Software, Simulation, System Design and Mission Assurance, and other departments to solve the overall Autonomous Driving problem in complex urban environments Qualifications BS, MS, or PhD degree in computer science or related field Proven track record of technical leadership in large-scale AI organizations Significant experience with training and deploying Deep Learning models to production Fluency in C++ or Fluency in Python with a basic understanding of C++ Extensive experience with programming and algorithm design-Strong mathematics skills, 10+ years of experience Bonus Qualifications Conference or Journal publications in Machine Learning or Robotics related v

We are seeking a highly skilled and experienced Staff Data Scientist to join our team and play a pivotal role in developing and deploying cutting-edge autonomous driving technologies. As a Staff Data Scientist, you will be responsible for tackling complex data challenges, driving innovation in machine learning and statistical modeling, and contributing to the advancement of our self-driving systems. You will work closely with a team of talented engineers and researchers in a fast-paced, collaborative environment. In this role, you will: Analyze large-scale datasets from various sources, such as fleet and simulation data, to extract actionable insights. Develop and evaluate novel algorithms and methodologies for data processing, feature engineering, model training, and performance optimization. Evaluate and validate model performance through rigorous testing and analysis, ensuring the safety and reliability of our systems. Communicate complex technical findings and recommendations to both technical and non-technical audiences. Mentor and provide technical guidance to junior data scientists and engineers. Qualifications Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field with 8+ years of experience as a Data Scientist. Strong programming skills in Python, including experience with relevant libraries such as scikit-learn, and Pandas & SQL. Expertise in a wide range of machine learning techniques, including deep learning, reinforcement learning, and statistical modeling. Experience working with large-scale datasets and distributed computing platforms (e.g., Spark, Hadoop) with solid understanding of data processing, feature engineering, and data visualization techniques. Strong communication and presentation skills, with the ability to effectively convey technical information to diverse audiences. Bonus Qualifications Experienc

What you will be doing: Key responsibilities As a Data Engineer Intern, your role will encompass: ● Supporting to conduct ambitious projects in the transformation of clients through data ● Collaborating with the consulting and data team to provide comprehensive services to clients ● Using your technical abilities to assist in the transformation of clients’ marketing department Among your responsibilities as a Data Engineer Intern, you will be responsible for: ● Help securing delivery on projects with Data Engineer ● Communicating the success of projects among the company ● Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs ● Ensuring that your solutions are bringing values to the client problematic ● Being a good team player, knowing your role and responsibility in the global ambition ● Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring Being a great tech person ● Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives ● Researching and developing new technical approaches to address problems efficiently ● Sharing best practices and contributing to Artefact’s institutional knowledge ● Embodying Artefact’s values and inspiring others to do the same ● Experience working with Big Data technologies such as Hadoop, Spark, Kafka... ● Delivering Data Lake / Big Data projects including (data ingestion, machine learning model application, code deployment) ● Being able to adapt your solutions and approaches to technical environment (security, access, tools) Qualifications :Education and Experience ● Bachelor’s degree in Software Engineering, Computer Engineering, or related fields ● Solid knowledge of computer science, data processing and data architecture ● Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an

Natera’s Research team is building tests that can detect many cancers from a single blood draw. We are looking for a Senior or Lead Bioinformatics Scientist to join the team building the technology at the heart of that effort. You will work with large-scale, multi-modal genomic datasets from clinical cohorts and partner closely with molecular biologists and clinical scientists. You will help advance the state-of-the-art and drive new methods from prototype, through scalable implementation, toward clinical validation and, ultimately, to patients. PRIMARY RESPONSIBILITIES: Develop and validate new algorithms to analyze large multimodal epigenomic datasets Drive research analyses through implementation, testing and performance evaluation, including developing new features within existing pipelines Work with sequencing and clinical data from large cohorts, ensuring data integrity and quality control Partner with molecular biologists and clinical scientists to solve challenging, open-ended problems Visualize results and present complex findings to both technical and non-technical audiences Contribute to the team’s standards for code quality and reproducibility QUALIFICATIONS: Ph.D. in Bioinformatics, Computer Science, Biology, or a related field; alternatively a Bachelor’s or Master’s degree with at least 4 years of professional experience Track record developing and validating analysis workflows for high-throughput sequencing data Experience applying and evaluating statistical and ML methods to large datasets Strong quantitative reasoning and data analysis skills, applied effectively to real scientific problems. Software development experience, including proficiency in Python and its scientific computing ecosystem Fluent using Linux command-line tools and cloud computing environments Strong verbal and written communication skills Preferred Experience Working knowledge of DNA methylation and other epigenomic data Experience with cell-free DNA and liquid biopsy samples Ba