Great to see this 2015 HRT intern reunion, and everything this crew has gone on to build. If you’re an HRT alum building something ambitious, our Ventures team wants to hear about it. 😉
Scaling compute across global sites requires precise, process-level network attribution.
In our latest post, Eric breaks down how we combined Linux eBPF kernel tracing, service logs, and hardware counters to map every byte back to the right workflow.
Read on HRT Beat: hudsonrivertrading.com/hrtbe…
In an 11-week HRT internship, the learning curve is nearly vertical — but you never climb it alone. Backed by dedicated mentors and an open culture, see how our interns make every week count.
Watch the full feature on YouTube: youtube.com/watch?v=cPmVLrTA…
We remember that day. Thanks @alexandr_wang, great to see you doing amazing things!
At HRT AI Labs (HAIL), deep learning research is backed by multiple data centers packed with the newest hardware on the market.
For researchers like Algo Dev BC Cho, HRT’s compute infrastructure creates the freedom to explore truly ambitious ideas: “If you need compute to do your best research, there's really no better place than HRT.”
Learn more about deep learning research at HRT: hudsonrivertrading.com/machi…
PhD students! Experience HRT’s research environment firsthand through our newly opened 2027 PhD Winter Internship, a three-week introduction to quantitative research in our New York office.
Apply by October 16: hudsonrivertrading.com/hrt-j…
Applications for winter internships at HRT are open!
This January, join us in NYC to explore quant trading through hands-on projects, tech talks, and events with our researchers and engineers. Now hiring for:
❄️ Women in Trading and Technology Internship (WiTTI): 2–4 week exploration of quantitative trading for undergrads finishing their degree between Fall 2028 and Summer 2030. hudsonrivertrading.com/hrt-j…
❄️ PhD Winter Internship: 3-week introduction to quantitative research for PhD students graduating between Fall 2027 and Summer 2029. hudsonrivertrading.com/hrt-j…
Both programs are designed for students without extensive experience in the quantitative trading industry.
Apply by October 16, 2026!
Hudson River Trading retweeted
Announcing the 2nd iteration of our PhD Winter Internship, for Jan 2027. 1st iteration this year was a big success - PhDs from variety of disciplines got to have a taste of working at HRT, then return later for summer internships and/or full time work.
hudsonrivertrading.com/hrt-j…
"I’ve never contributed to a real codebase before. Seeing it deployed to production is an unbelievable feeling."
Anshul spent his 12-week HRT software engineering internship split between NYC and London, taking on backend trade tools and front-end dev interfaces.
Watch his summer unfold across two projects, two teams, and two global offices. 👇
Applications are still open for 2027 student opportunities!
hudsonrivertrading.com/stude…
This year, we showed up at @CppCon bigger than ever: sponsoring students to attend through the HRT CppCon Scholarship, hosting a packed networking social, and bringing two technical sessions from Compiler Explorer creator and HRTer Matt Godbolt to the stage.
If you're here, there's still time to swing by the booth to meet the team and grab some swag. ✨
Thanks for having us! #CppCon2026
Congrats to the Positron team!
We're excited to be an investor in their Series C as they advance their novel architecture designed for the next gen of AI infrastructure.
The inference era is here. Today, we announced Positron AI’s $875M Series C at a $5B valuation.
Our CEO, @mitesh711, spoke with @RWhelanWSJ about why inference is reshaping AI infrastructure, our momentum and what we’re building next.
Read more: wsj.com/tech/ai/positron-val…
To get the fastest code possible, occasionally you just have to pop the hood. HRT SWE Matt Godbolt sat down to talk low-level fundamentals and C++ culture at HRT.
Attending @CppCon? Swing by the HRT booth (or our networking social on Monday!) to meet the rest of the team.
And don't miss Matt’s two sessions: Running Compiler Explorer in 2026 on Tuesday, and What 25 Days of Optimisations Taught Me About Compilers on Friday.
See you in Aurora!
Congratulations to the @keplercompute team on emerging from stealth and the raise!
We’re excited to support them in tackling one of AI compute’s biggest bottlenecks: memory.
We are proud to announce @keplercompute. Our mission is unlock computing for everyone by pushing memory and logic to the limits of physics.
Our team co-led one of the industry's first 3D chip-stacking technologies, has led and scaled seven generations of DRAM and multiple logic designs into billions of chips. We built the world's first commercial physical synthesis tool and techniques at the heart of the logic design industry and solved long standing challenges in ferroelectrics, invented beyond CMOS logic devices. We would love to work with you to reinvent chip manufacturing here in America.
Memory is the biggest binding constraint on AI compute. Today we come out of stealth after a 7 year bet on this problem - introducing a new frontier of AI memories - that approach the bandwidth per watt of SRAM and go up to 10x beyond the capacity of SRAM and HBM.
We raised $468m, built a dedicated fab and our AI memories sample this year and ramp to production next year. We are allocated for 2027 and will be scaling in America by 2028.
We are open for business get in touch to work together. We are also growing the group of Keplerians and would love to work with you.
Learn More @ Kepler: keplercompute.com/
Read our story in @WIRED: wired.com/story/a-new-dollar…
Excited to support @ValsAI on their Series A.
Vals is building important infrastructure for evaluating AI systems and understanding where automation can be safely adopted. We’re especially proud to back co-founder @langstonnashold, a former HRT intern!
Congrats to the team!
Today we're announcing our $40M Series A at a $400M valuation, led by @a16z , with participation from existing investors @8vc, @pearvc, and @BloombergBeta and new investors @HRTVentures and @nextladder.
Alongside the fundraise, three more announcements:
- Vals Smith: is now generally available. Anyone can create a custom coding benchmark from any GitHub repo with 120 free credits to get started.
- Frontier Risk Benchmarks: We are releasing the RSI Index in collaboration with @CoreWeave and just launched ReverseEngBench, a new cyber benchmark built with Columbia University, Tufts University, UC Berkeley, and UCLA. We are also sharing our initial work in mental health, with more to come across environmental impact, military, and biosecurity.
- Website + Vals Index 2.0: We completely rebuilt the Vals website and have released Vals Index 2.0, with coverage of more of the economy.
Our revenue has already grown 8x compared to all of 2025. Our customer base doubled and the team tripled in 6 months. Our results have been cited in model cards from OpenAI, Anthropic, Google, Meta, and xAI.
The AI economy runs on self-reported grades. When a model ships, the scores come from the company that built it. No other trillion-dollar industry works this way. Finance has ratings agencies. Medicine has the FDA. AI has vibes and vendor benchmarks. We built Vals to be the independent evaluation layer the industry is missing.
Check out our new website and try Vals Smith!
At HRT, performance means getting both latency and throughput right.
Discover how C++ makes this possible in @cultrepo's interview with HRT SWE Lead Eric Lubin: youtube.com/watch?v=c5FsYUQ1…











