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Quest Global

Engineering services, digital transformation, asset management

Artificial Intelligence Machine Learning Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • Hands-on experience with hardware verification methodologies and front-end design verification flows.
  • Experience with hardware description language (HDL) languages, including SystemVerilog and Verilog, and verification frameworks, including UVM and OVM.
  • Experience with AI-powered development tools such as Claude, Claude Code, and Model Context Protocol (MCP) for automating and accelerating verification tasks.
  • Proficiency in integrating large language model (LLM)-based assistants into engineering workflows to improve productivity and code quality.
  • Familiarity with machine learning concepts, including supervised and unsupervised learning and neural networks, and their application to verification tasks such as coverage closure, bug prediction, and test generation.
  • Good analytical and problem-solving skills.
  • Familiarity with version control systems such as Git and continuous integration/continuous delivery (CI/CD) workflows.

Responsibilities

  • Build reusable verification components and libraries for future use.

Desired Qualifications

  • Knowledge of simulation, debugging, and waveform analysis tools.
  • Knowledge of scripting languages, including Python, Tcl, and Perl.
  • Strong understanding of C and C++ languages.
  • Exposure to retrieval-augmented generation (RAG) and AI-driven document and knowledge management tools.

About the Company

Quest Global

Engineering services, digital transformation, asset management

QuEST Global provides engineering and lifecycle services across aerospace, automotive, energy, healthcare, and transportation, focusing on digital transformation and asset management. It uses edge computing, cloud, AI/ML, and industrial IoT to deliver tailored engineering solutions through long-term partnerships, service contracts, project-based engagements, and strategic collaborations. It differentiates itself with a broad industry footprint, global delivery model, and emphasis on partnerships, talent development, and workplace culture. Its goal is to help clients improve operational efficiency and drive business growth by transforming engineering processes and assets with digital tools and data-driven management.

Company size
10,001+
Company stage
Growth Equity (Venture Capital)
Total funding
$581M
Headquarters
Greenville, SC
Founded
1997

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