---
title: 'Senior Recruiter at Eka'
canonical: 'https://feeny.ai/job/senior-recruiter-eka-boston-wn4ge9ca185n'
type: 'job'
last_seen: '2026-10-20'
---

# Senior Recruiter at Eka

- **Company:** Eka
- **Location:** Boston, MA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-15
- **Last confirmed live:** 2026-10-20
- **Apply:** https://jobs.ashbyhq.com/ekarobotics/8146cc93-cc39-4f66-b4ac-4ccb6b38cd02

## Job description

Eka Robotics We are looking for a Sr. Recruiter to help us build the team behind Eka’s next stage of growth. Your primary focus will be recruiting exceptional technical talent across robotics, reinforcement learning, computer vision, simulation, and software. You will work directly with our company leadership to identify exceptional people, develop creative ways to reach them, bring them into Eka’s orbit, and ultimately help close them. This is a hands-on role. You will personally source candidates, develop talent maps, run candidate conversations, and drive searches forward — not simply build a recruiting process for others to execute. The ideal candidate started as a hands-on technical sourcer or recruiter, developed deep expertise recruiting robotics talent, and expanded into broader People responsibilities at a fast growing-startup.

## Role Overview

- Personally source and recruit highly specialized research and engineering talent, with an initial focus on robotics, ML/RL, computer vision, simulation, and software.
- Develop targeted sourcing strategies and talent maps across robotics companies, research organizations, university labs, and technical communities.
- Build relationships with passive candidates and serve as a compelling early ambassador for Eka.
- Own candidate conversations and partner with leadership on interview strategy, offers, closing, and follow-up.
- Continuously improve our recruiting workflows, processes, and systems.
- Work with our existing talent team and recruiting partners to ensure our highest-priority searches move quickly.
- Partner with leadership on broader People initiatives such as headcount planning, compensation, performance management, manager development, and strategy for company expansion.

## Minimum Qualifications

- Significant experience recruiting highly technical talent, including direct experience recruiting in robotics, embodied AI, physical AI, or a closely related field.
- Demonstrated success personally sourcing difficult-to-find engineering and research candidates.
- Strong knowledge of the robotics talent ecosystem and experience sourcing beyond LinkedIn, including through technical communities, research publications, conferences, university labs, and targeted market mapping.
- Enough technical fluency to understand specialized candidate backgrounds and engage credibly with researchers and engineers.
- Strong candidate-facing communication skills and the ability to build excitement and trust throughout a recruiting process.
- Experience in a fast-growing startup or similarly high-ownership environment.
- Experience or demonstrated interest in broader People topics beyond recruiting.

## Preferred Qualifications

- Experience recruiting through communities and conferences (e.g., CoRL, ICRA, IROS, OpenReview, arXiv, etc.)
- Experience with compensation, organizational planning, performance management
- Experience supporting a company through rapid growth or expansion into new markets

## About Eka

## Company Overview
- **One-liner**: Eka Robotics is building general-purpose, dexterous robots that master physics through self-supervised learning and a novel Vision-Force-Action (VFA) model, aiming to deploy safe, collaborative intelligence into the physical world.
- **Entity Type**: Private (Startup, Pre-Seed / Angel-backed)
- **Headquarters**: Cambridge, Massachusetts, United States
- **Founded**: 2025
- **Founders**: Pulkit Agrawal and Tuomas Haarnoja

## Core Business
- **Primary industry/industries**: Robotics Engineering, Artificial Intelligence, Hardware, Automation
- **Target customers**: B2B, Enterprise (logistics, manufacturing, material handling)
- **Mission or purpose statement**: To build intelligence for the physical world in its native language: force, creating robots that master physics, collaborate safely with humans, and generalize across objects, tasks, and environments.

## Products & Services
- **Vision-Force-Action (VFA) Model**: A new AI foundation model that unites generality, performance, and safety. It allows robots to perceive the world visually, interact with it through force (the "native language" of physics), and execute actions. This model is designed to overcome the traditional trade-off between generality and performance in robotics.
- **Dexterous Robotic Manipulation Platform**: A hardware and software platform for dexterous, collaborative robots. The platform is designed to be safe around humans, environment-agnostic, and capable of mastering the unexpected through a single model that generalizes across objects, tasks, and environments.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (Pre-Seed / Angel-backed startup).
- **Key Metric**: Total Funding: Not publicly available (described as "angel-backed" with no known external funding rounds disclosed).
- **Notable Investors/Partners**: Angel-backed; specific investors not publicly disclosed. The founding team has deep ties to MIT, Berkeley, Harvard, DeepMind, Microsoft, and Boston Dynamics.
- **Growth Signals**: Extremely early stage (founded in 2025). Despite this, the company has a very high growth trajectory in terms of hiring and web presence. LinkedIn reports 6 employees with +300% monthly growth, and 11 active job postings. Website traffic is growing +254.5% monthly.

## Competitive Advantages
- **Founding Team & Research Pedigree**: Co-founded by Pulkit Agrawal (MIT professor, leader of the Improbable AI Lab, 2024 IEEE Early Academic Career Award) and Tuomas Haarnoja (ex-DeepMind). The team includes talent from MIT, Berkeley, Harvard, CMU, DeepMind, Microsoft, and Boston Dynamics.
- **Novel Technical Approach (VFA Model)**: Their core technology, the Vision-Force-Action (VFA) model, is a claimed breakthrough that unites generality (a single model for many tasks), performance (speed and reliability), and safety (force-based interaction). This is a significant differentiator in the robotics space, which often forces a trade-off between these three attributes.
- **Self-Supervised Learning & Sim-to-Real**: The company pioneers self-supervised learning and sim-to-real reinforcement learning, enabling robots to develop "common sense" and physical intuition automatically without massive amounts of human-labeled data.
- **World-Class Talent Magnet**: Despite being a very early-stage startup, they are attracting top-tier talent from leading tech companies and research labs, indicating a strong technical vision and culture.

## Strategic Focus
- **Productization & Deployment**: The company is actively hiring for roles across engineering, hardware, and operations, signaling a strong push to move from research to a deployable product.
- **Scaling the Team**: With 11 open positions for a company of ~6 employees, the immediate strategic focus is on aggressive team building across all functions (ML, hardware, software, operations).
- **Building the Foundation**: Current priorities include developing the core VFA model, building the physical robotic platform, creating robust simulation environments, and establishing operational processes for scaling.

## Why Work Here
- **Cutting-Edge Mission**: Work on the frontier of embodied AI and robotics, tackling the fundamental challenge of building machines that can interact with the physical world.
- **World-Class Team**: Join a team of experts from top-tier institutions (MIT, Berkeley, DeepMind, Boston Dynamics) and work alongside leaders in the field.
- **High Impact, Early Stage**: As one of the first ~20 employees, you will have an outsized impact on the company's technology, culture, and direction.
- **In-Office Culture**: All roles are based in Boston, MA, and are in-office, fostering close collaboration on complex hardware and software problems.
- **Diverse, High-Caliber Roles**: Openings span from ML/RL engineering and simulation to mechanical design, embedded systems, and business operations, offering a wide range of challenging work.

## Sources
1. [ekarobotics.com](https://ekarobotics.com/)
2. [LinkedIn - Eka Robotics](https://www.linkedin.com/company/eka-robotics)
3. [Dealroom.co - Eka Robotics](https://app.dealroom.co/companies/eka_robotics)
4. [Built In - Eka Robotics Jobs](https://builtin.com/company/eka-robotics/jobs)
5. [Ashby - Eka Robotics Careers](https://jobs.ashbyhq.com/ekarobotics)

## Other roles at Eka

- [Senior/Staff/Principal Hardware Test Engineer](https://feeny.ai/job/senior-staff-principal-hardware-test-engineer-eka-boston-1dnra1c94rk4) — Boston, MA
- [Head of People](https://feeny.ai/job/head-of-people-eka-boston-3fr4xvy9q6zv) — Boston, MA
- [Developer Productivity Engineer](https://feeny.ai/job/developer-productivity-engineer-eka-boston-sct07sehhmy2) — Boston, MA
- [Forward Deployed Robotics Engineer](https://feeny.ai/job/forward-deployed-robotics-engineer-eka-boston-jxtqzxkdmf77) — Boston, MA
- [Robotics Software Engineer](https://feeny.ai/job/robotics-software-engineer-eka-boston-5fb4fftf57eg) — Boston, MA
- [Research Engineer – Simulation](https://feeny.ai/job/research-engineer-simulation-eka-boston-jtmvybfdvqmn) — Boston, MA
- [Machine Learning / Computer Vision Engineer](https://feeny.ai/job/machine-learning-computer-vision-engineer-eka-boston-f2z8zq36n5vv) — Boston, MA
- [Senior/Staff/Principal Mechanical Engineer](https://feeny.ai/job/senior-staff-principal-mechanical-engineer-eka-boston-gm2bz9qr8geb) — Boston, MA
- [Machine Learning / Reinforcement Learning Infrastructure Engineer](https://feeny.ai/job/machine-learning-reinforcement-learning-infrastructure-engineer-eka-boston-czmmjx0d7nk3) — Boston, MA
- [Machine Learning / Reinforcement Learning Engineer](https://feeny.ai/job/machine-learning-reinforcement-learning-engineer-eka-boston-as8ph30n88pz) — Boston, MA