Top Tech Jobs & Startup Jobs in Chennai, TN

KLA, a global leader in electronics for the semiconductor manufacturing ecosystem, is seeking a Software Engineer to join their team. The role involves developing systems and solutions for manufacturing electronic devices. Join a team of experts and innovators in advancing technology for the future.

Responsible for software development activities using C# and Java, participating in end-to-end product development lifecycle activities, collaborating with global teams, and troubleshooting complex problems. Requires 2+ years of experience and a technical degree in CS, Electronics, Physics, or ECE. Strong programming fundamentals, analytical skills, and knowledge of SDLC and software engineering are essential.

Database Engineer with expertise in Oracle and Postgres technologies, Linux environment, shell scripting, cloud native database engines, and data warehousing. Strong problem-solving and communication skills required.

Join a high-performing team in Chennai, India, working on AI-enabled semiconductor inspection equipment. Collaborate with AI and HPC centers of excellence, drive innovation through applied R&D, and contribute to product roadmaps.

Seeking a Full Stack Developer with 3-5 years of experience to develop scalable web applications, manage Kafka clusters, design CI/CD pipelines, and collaborate on AI-driven projects.

As a Compensation Analyst at KLA, you will be responsible for supporting compensation operations and administration in multiple countries. This includes tasks such as benchmarking, survey participation, focal cycle management, and collaborating with HR teams to ensure compliance with corporate compensation philosophy. You will provide recommendations and analysis to resolve compensation challenges, maintain data integrity, and contribute to the development of compensation programs and materials.

Design and develop machine learning software solutions for semiconductor device and thin film metrology. Collaborate with internal and external customers, optimize algorithms, implement APIs, write unit tests, and maintain software solutions throughout their lifecycle. Strong emphasis on using Python with TensorFlow for implementation.