Data and Perception Engineer

Conduit; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Equity

Job summary

Conduit is hiring a customer-first CV/ML engineer to drive perception, data science and ML in live factory data streams. You will own the streaming vision system, capturing, classifying and acting on signals in real time on factory hardware.

You will develop end-to-end pipelines from data collection to deployment, train models in PyTorch, and deploy on edge devices you select, collaborating with plant managers for real-world adoption.

Qualifications

• 5+ years of applied computer vision and perception work, including production deployments.
• Strong experience building end-to-end training to inference pipelines and labeling workflows (manual and automated).
• Proficient in Python and PyTorch; familiar with CV techniques and edge deployment.

Responsibilities

• Own customer CV/ML deployments end to end: scope, edge compute, data pipeline, training, deployment, floor validation.
• Build end-to-end pipelines from training to inference: data collection, training, evaluation, deployment, monitoring.
• Stream and process video at industrial volume with multi-camera setups and real-time edge inference.
• Apply CV to industrial problems: defect detection, ergonomics analysis, machine state, material tracking.
• Spec and order hardware to run it; GPUs, edge boxes, cameras, lenses, lighting (can be a $40K compute order).
• Translate customer needs into clear engineering briefs for the SF team and build relationships with plant managers.

Skills

Applied CV

Python

PyTorch

Edge inference

Hardware awareness

Customer-facing

Tools

TensorRT

ONNX

Triton

GStreamer

CUDA

Job description

Conduit builds autonomous factories through a single data abstraction layer across every machine, robot, sensor and software a factory might have, agnostic of brand or backend.We partner with manufacturers to turn their existing infrastructure into AI without rip and replace, and are able to light up an entire factory in a matter of days, not months, with as few as 2 FDEs at a time. We are live with manufacturers across the country and are growing quickly. We are hiring the people who are excited to tackle challenges at the intersection of data science, industrial automation, and software engineering and bring AI to American manufacturing.

The Role

This is a customer-first role applied to perception, computer vision, data science and ML. Live factory data streams, including defects, ergonomics, cycle times, machine state, operator behavior, and material flow, will drive your research, and you will stand up the streaming vision system that captures, classifies, and acts on those signals in real time. You are technical enough to own the full pipeline: data collection on real factory hardware, manual and automated labeling, model training and evaluation in PyTorch, inference deployment on edge hardware you specced and ordered.

What you'll do

• Own customer CV/ML deployments end to end. Scope the problem, build edge compute, design the data pipeline, train the model, deploy inference, validate on the floor.
• Build end-to-end pipelines from training to inference. Data collection, training, evaluation, deployment, monitoring.
• Stream and process video at industrial volume. Multi-camera setups, real-time inference on the edge, intelligent downsampling, smart triggers, alerting.
• Apply CV to industrial problems: defect detection, classification, action / ergonomics analysis, machine state, material tracking, operator-assist.
• Spec and order the hardware to run it. GPUs, edge boxes, cameras, lenses, lighting. You are comfortable being trusted with a $40K compute order.
• Translate customer needs into clean engineering briefs for the SF team. Build relationships with plant managers and operators so the system gets used.

Who You Are

• 5+ years of applied computer vision and perception work, including production deployments. You have shipped and iterated on inference pipelines in deployment.
• You have built end-to-end pipelines from training to inference, including the data labeling muscle — both manual workflows and automated / programmatic labeling, weak supervision, pseudo-labeling, active learning.
• Strong Python. Strong PyTorch. You are conversational with modern CV, detection, segmentation, classification, action recognition, vision transformers, multi-modal, and the relevant inference toolchain (TensorRT, ONNX, Triton, etc.).
• You are comfortable around hardware and are confident prescribing hardware across a diverse breadth of cotnexts. You have selected cameras, ordered GPUs, set up edge inference boxes.
• You are great with customers. You can do a plant tour, push back on a CEO, and earn the trust of an operator who has never seen a model before.
• You want to be a part of the reindustrialization of the United States

Bonus Points

• Experience with industrial machine vision (Cognex, Keyence, Zebra / Adaptive Vision, MVTec Halcon).
• Experience with NVIDIA Jetson, Orin, Isaac, Triton, TensorRT, DeepStream.
• Experience streaming video at scale: RTSP, GStreamer, multi-cam sync, edge-to-cloud pipelines.
• Experience with ergonomics, pose estimation, action recognition, or video understanding.
• Experience with annotation platforms (Scale, Labelbox, V7, internal tools) and building automated labeling loops.

Why Conduit?

This is the rare opportunity to work at the forefront of Physical AI at a company with traction and a real technical moat. At Conduit, you will train your model and see its benefits in the real world.

• Top tier pay and equity: We want to make it easy to join Conduit.
• Generational opportunity. Be early at a company defining the software layer for industrial automation.
• American re-industrialization is happening. We’re building the platform to make it real — faster.
• Zero bureaucracy. High impact. You’ll be on the front lines, solving real problems for real factories.
• You will level up. You’ll work directly with the founder and exec team and grow into a senior operator

Conduit is an equal opportunity employer. We welcome applications from all qualified candidates.