ASBL 4 months ago
AWS Angular.js Docker GitHub Google Cloud Node.js PostgreSQL React.js Redis TypeScript

ASBL | Full-Stack Engineers (All Levels), Mobile Engineers, Devops Engineers | Hyderabad, India | ONSITE | 12-80L INR

We're a fast-growing, profitable proptech company in India, using technology to solve deeply complex problems in the construction and real estate space. Our mission is to build high-quality homes and deliver them on time—a massive challenge in this industry. Your code directly impacts everything from our supply chain and project management to the final home-buying experience for families.

We're looking for product-minded engineers who want to own problems end-to-end in a high-impact environment. We use cursor and are AI first.

Stack: React, Angular, TypeScript, Node.js/FastAPI, Postgres, Redis, Docker, GitHub Actions, AWS/GCP, OpenTelemetry.

Culture: AI-native (everyone uses Cursor/Copilot), small teams, high ownership, fast iteration.

Learn more and apply at: asbl.in/careers/software-engineering. Please mention you saw us on Hacker News.

Onsite
Ditto 4 months ago
Rust

Ditto | Public Safety Forward Engineer | Full-time | Remote (North America preferred)

Ditto is building an edge-first, peer2peer database and streaming APIs that solve challenging data synchronization problems. Our core is built on CRDTs and Rust.

If you know networking, ATAK, p2p, ROS2 or wireless MANETs please apply. I’m building out a team to apply the technology to life saving markets and need a hand. You’ll own some greenfield development, get out in the field with firefighters, work with UAVs, and ride multicast over cutting edge mesh radios.

Compensation 130-210k + equity and benefits.

Interested then apply at this link https://job-boards.greenhouse.io/dittoliveincorporated and mention HackerNews. There are other opportunities listed as well!

Remote Full-time
Hestus 4 months ago
Machine learning Next.js Python

Hestus | Machine Learning Engineer (Python, ML) | Peninsula (Onsite) | Full-time | $130k–$170k + equity | YC-funded

We're building AI-powered CAD tools to transform hardware development — think next-gen design workflows powered by custom ML models. We're a fast-moving startup, working with bleeding-edge tech at the intersection of mechanical engineering and AI.

We're looking for a versatile ML engineer to help us scale: develop and deploy custom models and prototype tools that make complex design work simpler and faster.

https://www.hestus.co/careers for more information

Onsite Full-time
4 months ago

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Dialogue AI 4 months ago

Dialogue AI | Founding Software Engineer | Full-Time | Onsite (Los Angeles, CA)

Dialogue AI is building the future of customer research. Our platform brings together AI agents to help create studies, conduct interviews, and extract meaningful insights -- enabling teams to understand their customers faster and more effectively than traditional methods.

As a founding engineer, you will work across product, infrastructure, and AI to deliver a customer-first product you can be proud of. You will collaborate directly with a founding team from leading tech companies and universities, shaping both the product and the culture as we scale.

- We're looking to hire 2-3 engineers to round out the founding team

- Seed funding secured ~month ago in partnership w/ a top VC

- Compensation: $125-200K USD + equity

If interested, you can email me directly at hubert [@] dialogueai.com or apply here: https://jobs.ashbyhq.com/dialogueai/687b6d39-cf6d-4767-bc83-...

Onsite Full-time
NVIDIA 4 months ago
Deep learning

NVIDIA | vLLM + SGLang | Deep Learning Inference | Remote (North America preferred)

Hi everyone — I’m Akbar, Senior Manager of Deep Learning Inference Software at NVIDIA. I lead our engineering efforts around vLLM and SGLang, two of the most widely used open-source LLM inference frameworks.

We’re building teams focused on making LLM inference faster, more efficient, and more reliable at scale — from runtime and scheduling optimizations to kernel fusion, distributed serving, and continuous integration across new GPU architectures (Hopper, Blackwell, etc.).

We’re hiring for multiple roles:

• Senior Deep Learning Software Engineer, Inference (https://nvidia.wd5.myworkdayjobs.com/nvidiaexternalcareersit...)

• Engineering Manager, Deep Learning Inference (https://nvidia.wd5.myworkdayjobs.com/nvidiaexternalcareersit...)

• DL Performance Software Engineer - LLM Inference (https://nvidia.wd5.myworkdayjobs.com/en-us/nvidiaexternalcar...)

• DL Performance Software Engineer - LLM Inference (https://nvidia.wd5.myworkdayjobs.com/en-us/nvidiaexternalcar...)

These roles are remote-friendly (North America preferred) and fully focused on upstream open-source development — working directly with the maintainers and the wider AI community.

If you’re excited about large-scale inference, compiler/runtime performance, and pushing GPUs to their limits, we’d love to talk.

Remote
4 months ago
Machine learning

Poesis (https://poesis.ai), Founding Engineers (ML, Quant, Head of Eng), On-Site (Palo Alto, CA), Full Time

Poesis is the AI-native investment manager pioneering a new foundation model for investing in U.S. equities. We’re building AI systems to predict market movements and outperform legacy managers. This is frontier research with immediate real-world validation, your work directly shapes investment decisions and portfolio performance.

We’re hiring founding technical roles to build the first generation of our trading and ML systems:

Head of Engineering: own architecture, pipelines, and productization of research; define the technical backbone of the fund.

Founding ML Engineer: build end-to-end ML systems for data ingestion, training, backtesting, and signal generation.

Founding Quant Developer: turn research ideas into production-grade code, working closely with leadership on real trading systems.

We’re a small, deeply technical team based near Stanford, working several days a week on-site in Palo Alto. Relocation support available.

If you’re excited by the intersection of AI, finance, and first-principles design, we’d love to meet you.

Apply here: https://jobs.ashbyhq.com/poesis?utm_source=7b1zo0bvxd

Onsite Full-time
Silk Hedge Fund 4 months ago

Silk Hedge Fund | https://silk.fund | Co-founder | In-person NYC

Silk is a fully autonomous, full stack AI hedge fund that utilizes large language models to orchestrate the complete spectrum of hedge fund operations—from quantitative research and technical analysis to trade execution, position management, and portfolio oversight. Silk is being designed to support several hundred autarkic cloud-based LLM instances that can each perform their own real time market analysis and trade stocks on a custom recurrence schedule, with custom MCP tools and infrastructure, using initial conditions (configurable strategies) set by humans. The end state for Silk is a multi-prop hedge fund that invests in financial markets with zero humans in the loop.

I'm currently a solo founder working on this full time (2 months). Please reach out if interested. Also looking for advisors / mentors.

Alek Turkmen | Email is hidden | https://www.linkedin.com/in/alekturkmen/ | https://alekturk.men

Full-time
Two Dots 4 months ago
BigQuery Google Cloud GraphQL Machine learning Node.js PostgreSQL React.js

Two Dots | https://twodots.net | Engineers, AEs, CSMs | Onsite in SF | Full-time

Fully automated agentic consumer finance chat bot / betting on consumer ability to repay / catching criminals at scale with forensics

Full Stack - GCP / BigQuery / Postgres / Node.js (Prisma/GraphQL) / React

ML - Torch

https://jobs.ashbyhq.com/two-dots

Onsite Full-time
Yuzu 4 months ago
Next.js

Yuzu | https://yuzu.health | Engineers & Designers | Onsite in NYC | Full-time At Yuzu, we’re building the next-generation health insurance company. We are NOT building a digital brokerage or an AI wrapper - we are going deeper to build the foundational infrastructure required to power tomorrow’s health plans.

We're hiring aggressively across the board, see open roles at https://yuzu.health/careers

Onsite Full-time