Ask HN: Who is hiring? (August 2023)

- Salary: $140,000 - 160,000 - Equity: 0.5 - 1.0%

## Location

- NYC preferred, remote OK

Best of luck.

PostHog helps engineers build better products. we launched on HN during a YC batch in 2020 and have been growing very fast ever since.

* open source, building a dev tool. We have a public handbook (posthog.com/handbook) if you want to learn how we work, pay and more in complete detail.

* we are a real business... nearly at $10M ARR / profitability in sight / lots of capital

* we are growing through more autonomy and transparency not through process.

* we are under a ton of pipeline pressure due to how much we've grown usage (~5x per year at the moment) - we need help rewriting our ingestion for the next 2 years of scale whilst dealing with 1 million events/minute being ingested. this will be very hard, but it is the _biggest_ challenge our company faces. revenue and growth are coming easily.

* goal is to build a company worth $10s of billions, by building wide first (we are the all in one platform with lots of tools) then going upmarket way later (similar product and go to market to Atlassian). we grow entirely through word of mouth and content marketing, not from outbound sales.

* we need: a distributed systems engineer to lead our pipeline team, 1-3 other individuals to work in the same team. you'll be working alongside experienced people who've worked at places like datadog/meta/twitter in this small team (currently 3 people).

* we are also hiring: ex technical founders and front-end oriented full stack engineers!

- MLOps Engineer| Fully Remote | Full-time

## About us d-MATRiX is developing a novel hardware system and a full-stack software solution to accelerate large-scale modern deep neural network compute workloads for the cloud. Leveraging a unique combination of in-memory computing and digital signal processing system design, in-memory compute array design, and on-chip and chip to chip interconnect fabric, d-MATRiX's AI compute engine holds the promise of drastically improving power-efficiency and compute latency of cloud inference workloads, by orders of magnitude compared to competition. ## The team and the role The Machine Learning Team is responsible for the R&D of core algorithm-hardware co-design capabilities in d-MATRiX's end-to-end solution. You will be joining a team of exceptional people enthusiastic about researching and developing state-of-the-art efficient deep learning techniques tailored for d-MATRiX's AI compute engine. You will also have the opportunity of collaboration with top academic labs, and help customers to optimize and deploy workloads for real-world applications on our systems.

For questions, please reach out at twebb@d-matrix.ai

* NodeJS API server

* Deno evaluation servers

* Postgres database

* Typescript, Zod, Tailwind CSS, DrizzleOrm

* All hosted on Render

Any other questions?