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Technical Recruiter

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Onsite

Technical Recruiter

Origin

Technical Recruiter

Skills

PyTorchData AnalysisMachine LearningAIGitHubProcess Improvement

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

18 September 2026

What they need


About Origin

Origin (previously 10xConstruction) is building general-purpose autonomous robots for US construction to tackle rising costs, safety risks, and labour shortages. Our modular, multi-trade platform combines purpose-built hardware with real-time site intelligence to navigate complex environments and execute tasks with precision. Trained in high-fidelity simulation and already deployed on live sites, our robots deliver 5x faster execution, 250%+ margin expansion, and significant cost savings. Join India’s most talent-dense robotics team consisting of individuals from IITs, Stanford, UCLA, etc.

About the role

At Origin, we're building intelligent robotic systems that operate in the real world — and that starts with building an exceptional team. We're looking for a Lead Technical Recruiter who thrives in the deep end: someone who can hold a credible conversation about diffusion models, ROS2, and embedded control systems, and then turn that understanding into a targeted, high-quality talent pipeline.

This is a high-ownership role. You'll partner directly with engineering leads and founders to hire across a range of specialised functions — AI/ML, Robotics, Perception, Embedded Systems, and Backend Engineering.

Key Responsibilities

  • Talent Sourcing & Recruitment:

  • Own full-cycle recruiting for senior and specialist roles across AI/ML, Robotics, Embedded Systems, Perception, and Backend Engineering.

  • Proactively source passive candidates via LinkedIn Recruiter, Naukri, Instahyre, GitHub, and research lab networks.

  • Partner with hiring managers to deeply understand role requirements and calibrate on candidate profiles before sourcing begins.

  • Candidate Relationship Management:

  • Screen candidates with enough technical literacy to assess fitment independently — reducing noise for the engineering team.

  • Manage end-to-end interview pipelines on Workable and drive offer negotiations, including ESOP conversations.

  • Agency Management : Manage external agencies and vendors, holding them accountable to sourcing quality over volume.

  • Analytics: Track recruiting metrics (pipeline health, source quality, time-to-offer) and use data to improve continuously.

Required Qualifications and Skills

  • Previously worked at a Seed/Series A startup as a TA is preferable
  • 2-8 years of technical recruiting experience, with a significant portion of hiring for AI/ML, robotics, embedded systems, or adjacent deep-tech domains
  • A bachelor’s Degree in Tech/Engineering or a relevant stream is a big plus
  • Bachelor’s/Master’s degree in Human Resources, Business Administration, or a related field.
  • Proven ability to source and close passive candidates in niche engineering disciplines.
  • Technical literacy sufficient to evaluate a resume and conduct a first-level screen without a hiring manager present.
  • Hands-on experience with LinkedIn Recruiter, Naukri, Instahyre, and an ATS (Workable preferred).
  • Strong communicator, able to represent Origin credibly to senior engineers and researchers.
  • Comfortable in a fast-paced, early-stage environment with high ownership and shifting priorities.
  • Analytical mindset with the ability to use data to drive decision-making and process improvements

Preferred Experiences

  • Prior in-house recruiting at a deep-tech startup, robotics company, or AI research lab.
  • Familiarity with roles involving ROS/ROS2, PyTorch, SLAM, and computer vision
  • Experience building recruiting processes — structured interviews, scorecards, sourcing playbooks.
  • Exposure to academic hiring pipelines: IITs, IISc, IIIT-H, and equivalent institutions.
  • Prior experience managing external recruitment vendors, including setting SLAs and evaluating output quality.

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