krea.ai | Distributed Systems Eng. & Data Engineers | San Francisco (on-site & remote), CA

I'm the cofounder & CTO of Krea (https://www.krea.ai). We are a startup in San Francisco building browser-based AI creative tools to improve the workflows of artists, designers, and professional creatives. Small team (~24); millions of active users; and raised over $83M from top Silicon Valley investment firms.

We're looking for talented engineers who want to tackle hard technical challenges with smart people while building a creative platform that big companies and startups will rely on.

The job:

- Build distributed systems to process massive (billions of files, petabytes), amounts of image, video, and 3D data, solving scaling bottlenecks as you go.

- Learn ML engineering from world-class researchers on a small tight-knit team. You’ll contribute to foundation image, video, and world models from 0 → production, and see them used by millions.

- Play with huge Kubernetes GPU clusters; our main GPU cluster takes up an entire datacenter from our provider.

Tech stack: python, pytorch, k8s, a rotating cast of data tools (e.g. DuckDB, massive relational DBs, PyArrow, etc.)

You should apply if you are an excellent generalist engineer with strong backend experience and an intuition for systems design. Bonus points for experience with dist. systems, k8s, and existing ML or data experience (but not required!). Cool side projects are a green flag.

A few links about us:

- Sneak peek of our real-time video model → https://x.com/krea_ai/status/1961074072487620635

- Technical report for FLUX.1 Krea, our first open-source text-to-image model → https://krea.ai/blog/flux-krea-open-source-release

You can contact me at:

  d+hn@krea.ai

Normal Computing | Multiple Roles | New York, San Francisco, London, Copenhagen | ONSITE/HYBRID | Full-time | normalcomputing.ai

Normal Computing is building a new thermodynamic computing paradigm to revolutionize AI reasoning and reliability. We're bridging AI to the world's most sensitive industrial and manufacturing applications, starting with semiconductors.

Funded by top-tier VCs, we're shipping real solutions to customers weekly while pushing the boundaries of AI for hardware. Tech stack: Python, TypeScript, React, AWS, Kubernetes, Terraform, PyTorch, Hugging Face

Open roles:

Full Stack Engineer - Build performant web applications for semiconductor companies. Design visualization tools, diagnostic assistants, and test version control systems. 4-7 years experience, expert in TypeScript/React, backend experience in Python. Bonus: semiconductor industry experience, LLMs, visual design.

AI Engineer - Build production systems that understand chip design specifications and generate code. Ship improvements weekly using LLMs, reinforcement learning, and agentic workflows. Experience with production AI systems, document understanding, PyTorch, prompt engineering. Bonus: mission-critical deployments, RLHF/RLAIF, program synthesis.

Sr DevOps Engineer - Design and operate cloud infrastructure for AI products in semiconductor environments. 5+ years DevOps/SRE experience, AWS, Kubernetes, Terraform, CI/CD pipelines. Bonus: highly-regulated environments, Python/Go, Ansible, ML infrastructure.

Physical Design Engineer - Lead SOC implementation from floorplanning to tape-out for our novel thermodynamic computing architectures. Experience with SOC implementation, Synthesis/PNR/STA, Verilog, physical verification. Bonus: Cadence tools, asynchronous logic, startup experience.

Apply: jobs@normalcomputing.ai with role + HN in subject line

Company: XSELL Technologies Location: HYBRID — Chicago, IL (3 days onsite) Roles: Senior Software Engineer & Senior Machine Learning Engineer

About Us (we’re the hiring company): XSELL Technologies is building an Agentic Voice platform for healthcare—blending ASR/TTS, LLMs, and deterministic orchestration to power human-like conversations at scale.

Senior Software Engineer

Focus: Scalable backend systems, APIs, distributed services, cloud (AWS/GCP/Azure), CI/CD, observability. You’ll: Design and ship high-performance services, own architecture decisions, and collaborate closely with Product/AI. You have: ~5+ years in software engineering (Python/Java/Go/Node), cloud infra, strong fundamentals in systems & APIs.

Senior Machine Learning Engineer

Focus: NLP/speech models, real-time inference, production ML (PyTorch/TensorFlow), monitoring & optimization. You’ll: Build, deploy, and iterate on ML models for conversational understanding and speech intelligence. You have: ~4+ years in ML/NLP, production deployments, strong Python, cross-functional collaboration chops.

Why XSELL:

Hybrid rhythm: 3 days onsite in Chicago, IL (collaboration, whiteboarding, team time)

Fast-paced, mission-driven team with clear ownership

Competitive comp and benefits

How to Apply (we’re actively hiring and will respond): Email your resume to brianna.babich@xselltechnologies.com with the subject “[Role] – Your Name.”

Lightning AI | Full-Stack Engineer, Backend Engineer, AI Performance Optimization Engineer | SF, NYC, or London Hybrid 2 days a week onsite | Full-time

About us: After creating and releasing PyTorch Lightning in 2019, Lightning AI was launched to reshape the development of artificial intelligence products for commercial and academic use.

Apply here: https://job-boards.greenhouse.io/lightningai

Matta (https://matta.ai) | Industrial Computer Vision/AI for Manufacturing | UK – London (Old Street) | ONSITE | Full-time | Salary + Equity

We’re building industrial AI for factories – deploying into some of the messiest, noisiest, most fascinating real-world environments you can imagine. We build our own hardware, write our own software and train our own models. Our systems watch over manufacturing processes and flags issues real-time - missing parts, out-of-specification dimensions and nearly imperceptible visual defects. We work across manufacturing sectors - aerospace, defence, automotive, food + beverage, electronics, textiles, polymers and all the rest!

We're currently hiring for:

- Frontend Engineers Vue + TypeScript

- Backend Engineers Python (FastAPI, SQLAlchemy), Postgres, Celery, Redis/RabbitMQ, Docker/Compose

- AI Scientists & Vision Researchers Anomaly Detection, PyTorch/ONNX, dataset tooling, detection/segmentation/measurement, robustness/lighting/domain shift, GPU workflows

Forward-Deployed & Hardware Engineers Camera/lighting rigs and calibration, hardware integration, networking (PoE), deployment and field ops.

How to apply:

Email hello@matta.ai with your application.

Copilot Health | AI Platform Engineer, Front-End Engineer | REMOTE (SF preferred)

We’re building the operating system for medical AI agents—enabling at-home diagnostics with computer vision and voice AI to deliver continuous, equitable care in a broken system. Targeting asynchronous care, we serve hospitals, rural and specialty clinics with >85% diagnostic accuracy and >70% patient engagement.

Mission: fix healthcare access and equity.

Tech: PyTorch, 3D reconstruction, SAM, React, Swift/SwiftUI (iOS), Kotlin (Android), React/Next.js (web), GCP, FHIR, Temporal, MemGPT. HIPAA-compliant (SOC 2 in process)

Roles

- AI Platform Engineer: Scale vision-language models, voice AI (emotion/intent), 3D/hyperspectral pipelines, multi-agent systems, FHIR integrations.

- ML Engineer (Vision-Language): Fine-tune VLMs (e.g., Moondream) on Med-VQA/RAD for medical VQA, detection, captioning. Optimize for on-device, clinical-grade accuracy.

- Front-End Engineer: React UIs for patients/providers with voice and diagnostic visualization.

- Mobile Engineer: Develop native iOS (Swift/SwiftUI) apps for seamless voice (ElevenLabs), camera capture, intents and conversational workflows.

- Open Application for Unconventional Talent (tell us / show us)

Lean team (5), high ownership, remote-first. Open to contracting roles.

Apply: Email tmartin@copilothealth.com with “HN [Role]”, resume / github / research. We reply fast.