Lead Software Engineer

Cadence; Dadri; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Cadence in Dadri is looking for a Software Engineer with a focus on developing next-generation AI-driven engineering systems. The ideal candidate should have over 3 years of experience and strong skills in C++, Rust, or Python.

This role involves core software development, generative AI engineering, and collaboration with cross-functional teams. A Master's or Bachelor's degree in Computer Science or a related field is required.

Qualifications

• 3+ years of relevant experience in software engineering.
• Strong programming skills in C++, Rust, or Python.
• Familiar with Linux/Unix development environments.

Responsibilities

• Design and implement features in AI-driven development frameworks.
• Contribute to generative AI LLM engineering.
• Develop and maintain unit and integration tests.

Skills

C++

Rust

Python

Data structures and algorithms

Software design

Debugging

Unit tests

Integration tests

Education

Master's degree or Bachelor's in Computer Science

Electronics/Electrical Engineering

Tools

Linux

Git

SystemVerilog/SystemC

Job description

Position Overview

We are looking for a Software Engineer with 3+ years of relevent experience to contribute to the development of next-generation AI-driven engineering systems for AVIP development. You will work closely with architects and senior engineers to build scalable, production-grade systems combining AI and EDA technologies.

Desired Attributes

• Sincerity, aptitude to be able plan and solve large scale problems and attention to detail
• Curiosity to explore emerging technologies (AI, EDA, systems)
• Agility to work in a fast-paced, high-visibility | high-impact environment.
• Willingness to learn cutting across domains (software + hardware + AI)

This role spans:

• Core software development.
• Generative AI engineering.
• Developer productivity tooling.
• High-performance systems programming.

Key Responsibilities

• Core Software Development
  • Design and implement features in:
    • AI-driven development frameworks
    • Developer tools and automation systems
    • Develop reusable libraries and utilities for internal engineering workflows
    • Write high-quality, maintainable, and efficient code
    • C++ based GUI/CLI/TUI applications
• Generative AI LLM Engineering
  • Contribute to systems involving: Model fine-tuning and adaptation, Prompt engineering and model steering, Evaluation, and benchmarking of LLM outputs
  • Build and maintain training data pipelines, including Data generation, Data cleaning and pruning, Dataset validation
  • Support development of domain‑specific AI systems for: Code generation, Specification understanding, Validation automation
• Agentic Workflow Development
  • Work on multi‑agent systems for: Task decomposition, Code generation, Self‑validation and debugging loops
  • Contribute to orchestration frameworks that connect: LLMs, Developer tools, Runtime environments
• Systems Performance Engineering
  • Contribute to performance‑critical components using:
    • Modern C++ (C++20/23/26)
    • Low‑level performance optimisation techniques
    • Work with GPU acceleration where applicable

Validation Quality

• Develop and maintain: Unit tests, Integration tests, Validation flows
• Participate in: Code reviews, Debugging and root‑cause analysis, ensure engineering quality aligned with production standards

Collaboration

• Work closely with:
  • Cross Geography AVIP development teams
  • AI/ML engineers
  • Verification and validation engineers
• Quickly learn domain concepts related to:
  • High Speed Serial and Bus Protocols
  • Hardware‑software co‑design
  • AI-enabled tooling

Required Qualifications

• Master s degree or Bachelors In:
  • Computer Science with AI focused projects
  • Electronics/Electrical Engineering with Embedded System/HPC/Device Driver Development focussed projects
• Strong programming skills in:
  • C++ and/or Rust/Python
• Solid fundamentals in:
  • Data structures and algorithms
  • Software design and debugging
• Familiarity with:
  • Linux/Unix development environments
  • Git/Perforce-based workflows
• Experience or coursework in:
  • Compiler/tooling ecosystems (e. g. , Clang, language servers)
  • Hardware description languages (SystemVerilog/SystemC)
  • Parallel/GPU computing

Behavioral skills required

• Must possess strong written, verbal and presentation skills
• Ability to establish a close working relationship with both peers and management.
• Explore what s possible to get the job done, including creative use of unconventional solutions.
• Work effectively across functions and geographies
• Push to raise the bar while always operating with integrity.