4 Ic Compiler Jobs

As a digital chip designer and customer support specialist, you will collaborate closely with customers to understand their design requirements and provide technical support throughout the implementation phase. Your responsibilities will include identifying, troubleshooting, and resolving design issues such as DRC, LVS, and other verification checks to ensure successful tapeout. You will be hands-on in utilizing relevant EDA tools like Innovus, IC compiler, Calibre, PrimeTime, etc. Additionally, you will assist in the tapeout process, ensuring that all design files are correctly prepared and submitted for manufacturing. To excel in this role, you must hold a Bachelor's or Master's degree in Electrical Engineering or a related field. A minimum of 8 years of proven experience as a digital chip designer and customer support professional is required. Strong problem-solving skills and the ability to work effectively under pressure are crucial attributes for success in this position. Excellent communication and interpersonal skills will be essential in engaging with customers and collaborating effectively. Proficiency in EDA tools such as Cadence, Synopsys, and Mentor Graphics is a must to meet the demands of this role.,

Key Responsibilities: Collaborate on ASIC backend design activities including synthesis, place-and-route, timing analysis, and physical verification. Develop and optimize design flows using EDA tools (e.g., Synopsys, Cadence, Mentor). Perform static timing analysis (STA) and fix timing violations to meet design constraints. Conduct signal integrity analysis, power analysis, and floorplanning. Work with RTL designers to optimize designs for manufacturability and performance. Generate design documentation, scripts, and reports to support ASIC development. Support debugging and silicon validation activities. Participate in design reviews, sign-off processes, and tape-out preparation. Qualifications and Requirements: Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or related field. 3+ years of experience in ASIC backend design or physical design. Proficiency with ASIC EDA tools (e.g., Synopsys Design Compiler , IC Compiler , PrimeTime , Cadence Innovus ). Strong knowledge of ASIC design flow, timing closure, and verification. Experience with scripting languages (TCL, Perl, Python) for automation. Understanding of semiconductor process technologies and constraints. Excellent problem-solving and communication skills. Desirable Skills: Experience with low-power design techniques and methodologies. Familiarity with DFT (Design for Test) insertion and ATPG tools. Knowledge of mixed-signal ASIC design is a plus. Exposure to RTL design and verification flows. Experience with FPGA prototyping and emulation.

You will collaborate with customers to understand their design requirements and provide technical support throughout the implementation phase. Your responsibilities will include identifying, troubleshooting, and resolving design issues such as DRC, LVS, and other verification checks to ensure successful tapeout. It is essential for you to be hands-on in relevant EDA tools like Innovus, IC compiler, Calibre, PrimeTime etc. Additionally, you will assist in the tapeout process, ensuring all design files are correctly prepared and submitted for manufacturing. To qualify for this role, you should hold a Bachelor's or Master's degree in Electrical Engineering or a related field. You must have proven experience of at least 8 years as a digital chip designer and in customer support. Strong problem-solving skills and the ability to work under pressure are crucial for this position. Excellent communication and interpersonal skills will be necessary to effectively collaborate with team members and customers. Hands-on experience with EDA tools such as Cadence, Synopsys, and Mentor Graphics is also required for this role.,

We are seeking an experienced Software Architect with a strong background in designing and implementing scalable, high-performance systems. As a Software Architect , you will play a key role in shaping the technical direction of our products, defining architectural best practices, and collaborating closely with cross-functional teams to deliver state-of-the-art AI-driven solutions. This is what you are responsible for : - Lead the architectural design and implementation of scalable, reliable, and high-performance software systems for AI, AI Compiler and edge computing applications. - Collaborate with product managers, software engineers, and hardware engineers to ensure alignment of technical decisions with business objectives. - Define and maintain architectural best practices, guidelines, and documentation for the software engineering team. - Evaluate and recommend technologies, frameworks, and tools to optimize the performance and scalability of our solutions. - Mentor and provide technical leadership to the engineering team, fostering a culture of collaboration and innovation. - Participate in code reviews, design discussions, and technical roadmap planning to ensure high-quality delivery. - Drive continuous improvement in system architecture and development processes to support the company's growth and evolving requirements. Necessary qualifications : - 8+ years of experience in software architecture, system design, and development of scalable, distributed systems. - Proven experience in designing edge-based solutions, compilers, runtime, firmware. - Strong programming skills in modern languages such as Python, C++ or similar language. - Expertise in designing high-performance, low-latency systems for AI/ML workloads. - Strong understanding of software development methodologies, DevOps practices, and CI/CD pipelines. - Familiarity with hardware-software co-design, embedded systems, and edge computing solutions is a plus. - Excellent problem-solving and communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Preferred qualifications : - Experience with AI frameworks (e.g., TensorFlow, PyTorch) and understanding of AI/ML pipelines. - Knowledge of hardware accelerators (e.g., GPUs, NPUs) and optimization for low-power AI inferencing. - Experience working in a fast-paced, startup environment is a plus. What you will gain : - Be part of a pioneering team shaping the future of AI and edge computing. - Work on innovative projects that solve real-world challenges. - Opportunity to grow with a dynamic, forward-thinking company. - Competitive salary, benefits, and a collaborative work environment.