Role Description In this hands-on, technology leadership role, you will lead EDA tool flow management, and associated engineering workflow development for Tensordyne's multimodal generative AI inference acceleration products. As a valued senior member of our ASIC team, you will: - Guide and assist colleagues to improve and invent EDA workflows within a fast-paced, agile HPC development environment. - Drive Tensordyne’s optimization, implementation, and exploration of new EDA tools and technologies for the full ASIC chip design process. - Continuously innovate and improve scalable, reliable, high-performance systems and tools for the next generation of Tensordyne products. - Work closely with ASIC team members engaged in the design and verification of Tensordyne products to understand and improve their workflows and EDA needs. Qualifications - Experience leading the development and support for compilation, build automation, testing, packaging, and installation project generators (CMake, GNU make, Ninja). - Hands-on ASIC engineering experience, including knowledge of VLSI/SoC chip design and verification workflows, with ASIC EDA tool suites from Synopsys and/or Cadence. - Knowledge of Linux system administration and familiarity with cloud-based DevOps, with experience in supporting EDA tools. - Programming and debugging skills with key languages to automate tasks and improve efficiency using scripts. - Prior work experience supporting ASIC engineers with EDA workflows, including installation of new tool versions, FlexLM license management, and debugging/fixing issues with EDA vendors. - Excellent analytical, written, and verbal interpersonal skills, with the ability to collaborate productively within a global engineering team. - Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field. Requirements - Experience with CI/CD and modern Git Branching workflows. Benefits - Comprehensive benefits. - Competitive compensation. - Flexible spending options. - Recognition programs. Company Description Tensordyne is an AI system solution company that builds very high-performance, low-power generative AI inference systems. Our mission is to enable multimodal Generative AI inference acceleration at scale, with safe, sustainable, high-performance systems for our hyperscaler and neocloud data center customers. We are a well-funded, fast-paced startup with headquarters in Sunnyvale, CA, and Munich, Germany, and many talented team members working remotely across North America and Europe.

• Design and implement LLM-powered features into our core application via model APIs (e.g. Anthropic, OpenAI, Cohere), with a focus on reliability and production-readiness • Architect and maintain retrieval-augmented generation (RAG) pipelines, connecting language models to internal knowledge bases, databases, and live data sources • Manage context window strategy, determining what information enters the model, when, in what format, and at what level of compression to optimise for accuracy, cost, and latency • Design and implement agentic workflows enabling the platform to handle multi-step, autonomous tasks • Build guardrail and output validation layers that constrain model behaviour and ensure AI features act within well-defined, compliant boundaries • Develop reusable agent primitives, prompt templates, and workflow components that other engineers can build on independently • Build evaluation frameworks to measure context effectiveness, output quality, and agent reliability in production • Monitor deployed AI systems for failure patterns and implement mitigation strategies, feeding learnings back into continuous improvement cycles • Collaborate with Product, Product Engineering, Implementation, and Data teams to translate business requirements, and proof of concepts into production AI system specifications • Act as an internal practitioner and resource helping upskill the broader engineering team on context engineering principles and agentic best practices

Role Description - Develop and execute performance test scripts using tools like JMeter, LoadRunner, or k6. - Perform load, stress, spike, and endurance testing. - Monitor application performance and identify bottlenecks. - Analyze results and prepare performance reports with improvement recommendations. - Work closely with developers and QA teams to resolve performance issues. - Assist in performance tuning of applications, databases, and infrastructure. Qualifications - 6–9 years of experience in performance testing or engineering. - Hands-on experience with at least one performance testing tool (JMeter/LoadRunner/k6). - Understanding of performance metrics: response time, throughput, CPU/Memory usage. - Basic knowledge of APIs, SQL, and web technologies. - Familiarity with monitoring tools (Grafana, Dynatrace, New Relic, or similar). - Good analytical and troubleshooting skills. Requirements - 6–9 years of experience in performance testing or engineering. - Hands-on experience with at least one performance testing tool (JMeter/LoadRunner/k6). - Understanding of performance metrics: response time, throughput, CPU/Memory usage. - Basic knowledge of APIs, SQL, and web technologies. - Familiarity with monitoring tools (Grafana, Dynatrace, New Relic, or similar). - Good analytical and troubleshooting skills. Company Description At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Role Description - Develop and execute performance test scripts using tools like JMeter, LoadRunner, or k6. - Perform load, stress, spike, and endurance testing. - Monitor application performance and identify bottlenecks. - Analyze results and prepare performance reports with improvement recommendations. - Work closely with developers and QA teams to resolve performance issues. - Assist in performance tuning of applications, databases, and infrastructure. Qualifications - 3–6 years of experience in performance testing or engineering. - Hands-on experience with at least one performance testing tool (JMeter/LoadRunner/k6). - Understanding of performance metrics: response time, throughput, CPU/Memory usage. - Basic knowledge of APIs, SQL, and web technologies. - Familiarity with monitoring tools (Grafana, Dynatrace, New Relic, or similar). - Good analytical and troubleshooting skills. Company Description At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.