---
title: 'Perception Engineer at Human Computer Lab'
canonical: 'https://feeny.ai/job/perception-engineer-human-computer-lab-san-francisco-4cbh6w64pvp5'
type: 'job'
last_seen: '2026-09-04'
---

# Perception Engineer at Human Computer Lab

- **Company:** Human Computer Lab
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-31
- **Last confirmed live:** 2026-09-04
- **Apply:** https://jobs.ashbyhq.com/human-computer-lab/752138af-fb1f-4f01-8823-798b2d9b9d58

## Job description

Human Computer Lab is a research lab building character robots that feel alive and responsive. Our first robot, LeLamp, explores a new category of consumer robotics where everyday objects become interactive and help us reshape our attachment to technology.

Our goal is to push the frontier of human-robot interaction by making technology more legible, emotionally intuitive, and human-centered. We are building the foundation for a new generation of robots designed for everyday environments.

## WHAT TO EXPECT

We are looking for a hands-on Perception Engineer who can build the system that allows our robot to understand people and the world around it. You will work on developing computer vision and machine learning system at the core of the robot’s awareness, enabling it to recognize people, understand gestures, track attention, and respond naturally in real time. The liveliness of our robot will truly convey the character interface that we are building that can learn and adapt as required.

This role sits at the intersection of robotics, machine learning, and software engineering. You will work closely with the CEO and the founding team to develop perception capabilities from prototype to deployment, collecting data, training models, optimizing performance, and integrating the stack directly into the robot's behavior.

## IN THIS ROLE, YOU WILL:

- Design, train, and deploy computer vision and perception models for person detection, tracking, pose estimation, gesture recognition, emotion recognition and scene understanding.
- Develop data collection, labeling, and evaluation pipelines to improve model performance and reliability.
- Build perception systems that operate robustly across varying lighting conditions, environments, and user behaviors.
- Optimize models for real-time inference on edge hardware while balancing latency, accuracy, and power constraints.
- Work with RGB cameras, depth sensors, IMUs, audio inputs, and other sensor modalities to create multi-modal perception systems.
- Develop tools for dataset management, model evaluation, debugging, and monitoring.
- Support integration between perception, behavior, controls, and firmware systems.
- Stay updated with state-of-the-art research to develop architectures and techniques that can improve the robot’s ability to understand and interact with people.
- Debug perception failures systematically and close the loop through data-driven improvements.
- Help define and evolve the platform’s perception architecture as the robot grows in capability.

YOU MAY BE A GOOD FIT IF YOU:

- Have a degree in Computer Engineering, Computer Science, Robotics, Electrical Engineering, or a related field, and a minimum of 3+ years of hands-on experience.
- Are proficient in Python and comfortable working in C++ when required.
- Have experience training and deploying machine learning models using frameworks such as PyTorch, TensorFlow, ONNX, or similar tools.
- Have worked on computer vision problems such as object detection, tracking, pose estimation, segmentation, gesture recognition, or activity understanding.
- Have experience deploying models to edge devices and optimizing performance for real-world systems.
- Understand the challenges of collecting, labeling, and maintaining high-quality datasets.
- Are comfortable working in environments where architecture is still evolving and your input shapes direction.
- Document clearly and drive issues to resolution.

YOU WILL BE A STRONG FIT IF YOU:

- Care deeply about building perception systems that work reliably outside ideal lab conditions.
- Have strong intuition for debugging machine learning systems and can distinguish between data problems, model problems, and deployment problems.
- Enjoy converting cutting-edge research into practical systems that ship.
- Think critically about tradeoffs between accuracy, latency, robustness, power consumption, and cost.
- Have the ability to quickly adapt through iteration cycles without waiting for perfect information to make progress.
- Take ownership over systems end-to-end, from data collection and training through deployment and monitoring.
- Work well in small, collaborative teams where software, hardware, controls, and AI are in constant conversation.
- Care about what perception enables: awareness, responsiveness, and the feeling that the robot is alive.

The early team becomes the DNA of the company. We set ourselves and others to a high standard, and we respond with kindness when things get hard but keep everyone accountable. This requires us to be curious, creative, and diverse in our thinking and approach.

We’re proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Even if you don’t meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria - we don’t want that to be the reason we miss out on great talent.

## About Human Computer Lab

## Company Overview
- **One-liner**: Human Computer Lab is a research and experimentation lab focused on researching and building expressive robots that reshape human attachment to technology.
- **Entity Type**: Private (Pre-seed stage)
- **Headquarters**: Newark, Delaware, United States (with presence in Canada)
- **Founded**: Not publicly available
- **Founders**: Shahvir Sarkary (Founder, CEO)

## Core Business
- **Primary industry/industries**: Robotics, Human-Computer Interaction, Research Services
- **Target customers**: B2C (early adopters, hobbyists, artists, roboticists) and potentially B2B (research partners)
- **Mission or purpose statement**: "Human–computer research and experimentation lab, focused on researching and building expressive robots."

## Products & Services
- **[LeLamp](https://www.lelamp.com/)**: An emotional and expressive robot designed to reshape human attachment to technology. Pre-orders are currently open. The product aims to make building a robot feel like assembling IKEA furniture.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding – Pre-seed round led by FR8 and South Park Commons (announced September 2025)
- **Notable Investors/Partners**: FR8, South Park Commons
- **Growth Signals**: Active hiring for multiple roles (Controls Engineer, ML Engineer, Electrical Engineer, Interns); growing social media presence and hosting community events (Demo Faires, artist-roboticist collectives); monthly LinkedIn follower growth of ~7.8%

## Competitive Advantages
- **Unique focus on emotional expressiveness**: LeLamp is positioned as a robot that conveys emotion and personality, differentiating it from utilitarian or industrial robots.
- **Research-driven approach**: The lab conducts human-computer research to inform robot design, blending art and engineering.
- **Accessibility ethos**: They aim to make robot building as simple as assembling IKEA furniture, lowering the barrier for entry.

## Strategic Focus
- **Current priorities**: Scaling LeLamp from pilot to production; building a community around expressive robotics; expanding the team with engineering and growth talent.
- **Direction for growth**: Continued research into springiness, damping, and life-like movement; hosting events to foster a collective of artists and roboticists.

## Why Work Here
- **Culture highlights**: Small, tight-knit team (5–6 employees) with a strong emphasis on creativity, experimentation, and joy in building robots. The lab hosts science-fair style Demo Faires and encourages cross-disciplinary collaboration.
- **Remote/hybrid/office policy**: Hybrid workspace – employees engage in a combination of remote and on-site work. Offices in Newark, Delaware (US) and likely Toronto (Canada).
- **Notable perks or engineering culture**: Hands-on work with expressive robotics, opportunity to shape early product direction, exposure to cutting-edge HCI research, and a culture that values “taste” and wholesome robot interactions.

## Sources
1. [humancomputerlab.com](https://www.humancomputerlab.com/)
2. [jobs.ashbyhq.com/human-computer-lab](https://jobs.ashbyhq.com/human-computer-lab)
3. [builtin.com/company/human-computer-lab](https://builtin.com/company/human-computer-lab)
4. [linkedin.com/company/humancomputerlab](https://www.linkedin.com/company/humancomputerlab)
5. [research.humancomputerlab.com](https://research.humancomputerlab.com/)

## Other roles at Human Computer Lab

- [Intern - Industrial Designer](https://feeny.ai/job/intern-industrial-designer-human-computer-lab-san-francisco-sah410f831c9) — San Francisco, CA
- [Intern - Animator and Rigging Artist](https://feeny.ai/job/intern-animator-and-rigging-artist-human-computer-lab-san-francisco-1f9hfxwggdaj) — San Francisco, CA
- [Character Artist](https://feeny.ai/job/character-artist-human-computer-lab-san-francisco-26j4s69r8bva) — San Francisco, CA
- [Supply Chain Engineer](https://feeny.ai/job/supply-chain-engineer-human-computer-lab-san-francisco-q0nk1qctstc9) — San Francisco, CA
- [Intern - Mechanical Engineer](https://feeny.ai/job/intern-mechanical-engineer-human-computer-lab-san-francisco-4dq9hpk53nre) — San Francisco, CA
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- [Intern - Growth](https://feeny.ai/job/intern-growth-human-computer-lab-san-francisco-zb9dbrz2h03z) — San Francisco, CA