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Freshly funded and hiring: 17 companies and what they build (June 2026)

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Freshly funded and hiring: 17 companies and what they build (June 2026)

Every few weeks a "freshly funded and hiring" graphic goes around. It gets a lot of attention and then it dies, because it's a picture. The links don't work. The roles it implies are already half gone by the time you screenshot it. You can't track any of it.

So here's the version that stays alive.

These are 17 companies that closed funding recently and are hiring engineers right now, grouped by what they build. Click any of them and you land on its Remoet page with the live open roles. The move isn't to fire off seventeen applications, it's to pick the two or three that fit your stack, star them, and let your agent surface new roles as they post. The list is the starting point. Tracking the right few is the part that pays off.

One thing up front, because it trips people: half this list is "hardware." Hardware companies run on software. Flight software, embedded, controls, simulation, data, plus the deep electrical and mechanical work. Some of the most interesting engineering boards in this batch are the rocket and fusion companies. Don't skip the bottom section.

AI infrastructure and developer tools

If you build the systems other engineers build on, start here.

RadixArk is the splashiest raise in the batch: a $100M seed led by Accel, founded by AI-infra veterans out of xAI and NVIDIA, stewarding the open-source SGLang inference engine. The board is almost all Member of Technical Staff roles: inference, GPU kernel and compiler, cluster and infrastructure. If you've run frontier-model serving at scale, this is the one to read first.

Socket does software supply-chain security: it inspects your open-source dependencies for malware and risk before they ship. The hiring skews security-deep, not generic backend: Staff Security Engineer, Vulnerability Research Engineer, Platform Engineer. Good fit if "I read other people's package internals for fun" describes you.

Blacksmith makes GitHub Actions runners that are faster and cheaper because they run on bare metal. Small board, real systems work: Staff Product Engineer, Principal Systems Engineer. The kind of place where one infra hire moves the whole product.

Vapi is a developer platform for building and deploying voice AI agents. Member of Technical Staff on backend and infrastructure, plus Agent Engineer roles. If you want to work on the latency-sensitive guts of real-time voice, not the demo layer, look here.

Tessera Labs raised a $60M Series A led by a16z to build enterprise multi-agent AI that automates work across systems like SAP, Salesforce, and Workday. AI Agent Engineer, Cloud Infra and DevOps, Senior Data Engineer. Agent work with real enterprise plumbing underneath.

Sigma Computing is the most established name on the list: cloud analytics that runs directly on your data warehouse. The biggest board too, and properly varied: Senior AI/ML Engineer, Staff Backend, Compiler Engineer. If you want a funded company past the seed-stage coin-flip, this is the safe-harbor pick.

Money and commerce

Moment builds fixed-income trading and data infrastructure, the APIs that let wealth platforms and brokerages offer bond trading and risk tooling. Distributed Systems Engineer, Agent Engineer, Platform and Security. Finance plumbing for people who'd rather not work at a bank.

Relay is business banking for small and medium companies: multiple accounts, cards, cash-flow tooling. The deepest fintech board here, with a dedicated Risk Engineering track alongside Software, SRE, and Data. Worth a look if you like the part of fintech where correctness actually matters.

Pace raised a $46M Series B (Thrive, Sequoia) to turn insurance operations into agentic AI: carrier and broker SOPs become agents that run the workflow end to end. Member of Technical Staff on ML, plus Forward Deployed Engineer. Applied AI against a deeply unsexy, deeply large market.

Consumer and health

Phia, backed by Kleiner Perkins and co-founded by Phoebe Gates and Sophia Kianni, is an AI shopping assistant that compares new and secondhand prices across thousands of retailers. Senior ML Engineer, Senior Backend, Full Stack. Consumer scale, recommendation and price-modeling problems.

Nourish connects patients with chronic conditions to registered dietitians over telehealth, insurance-covered. Engineering is a small slice of a big board, so the eng roles are real signal: Staff Software Engineer, Senior Backend, Engineering Manager.

Deep tech, energy and space

This is the section people skip and shouldn't. These boards are dense with engineering, hardware and software both.

Quartermaster raised a $43M Series A to build a distributed maritime sensing network, turning commercial ships into a real-time ocean-awareness grid. The board is a feast if you do signals work: Applied ML Engineer, RF Machine Learning Engineer, RF Design (FPGA), DSP and Algorithms, Mechanical. One of the strongest engineering boards in the whole batch.

Observable Space formed from the merger of PlaneWave Instruments and OurSky to build vertically integrated hardware and software for space observation, including software-defined telescopes. Every role on the board is engineering: Staff Embedded Software, Senior Flight Software, Lead Mechanical (spacecraft), Thermal. If you want hardware and software in the same job, this is it.

Thea Energy is commercializing a planar-coil stellarator design for fusion power. Computational Plasma Physicist, electrical and controls, mechanical, nuclear. Yes it's physics-heavy. It also needs people who can write the software that runs the physics.

Venus Aerospace, Houston, founded 2020, is developing rotating detonation rocket engines and detonation ramjets for hypersonic flight, and recently flew an RDRE test. Instrumentation, propulsion, structural, and yes, an InfoSec Engineer. (US-only and ITAR-gated, so read the fine print before you spend an hour applying.)

American Terawatt is building national-scale HVDC transmission and software-defined macrogrids to move serious power to AI data centers and industry. Electrical Engineer (Power), Control Systems Engineer. The grid is about to be the bottleneck for everything, and this is people building the unblock.

GridCARE comes at the same problem from the software side: a physics-based generative-AI platform that finds untapped grid capacity to speed up power delivery for data centers. Power System Engineer, Data Science Engineer, Data Scientist. Energy domain, AI tooling.

What this batch tells you

A few things worth naming.

"AI company" has split into two very different jobs. There's the infrastructure layer (RadixArk, Vapi, Blacksmith) where the work is systems, kernels, latency, and serving. And there's the applied layer (Pace, Tessera, Phia) where the work is wiring models into a workflow that already exists. Same buzzword on the funding announcement, completely different day-to-day. Pick the half you actually want.

Forward Deployed Engineer is everywhere now. It shows up on Vapi, Pace, Tessera, and more across the batch. Freshly funded companies are hiring engineers who sit with the customer and make the thing work in the real world. If you like building and you don't mind talking to users, this title is having a moment and it pays.

The hardware boards are the hidden software jobs. Observable Space, Quartermaster, Venus, the energy companies: every one of them is hiring embedded, flight software, DSP, ML, or data people next to the mechanical and electrical engineers. "Deep tech" is not a reason to skip the listing. It's a reason to open it.

How to actually use this

These boards churn every few weeks, so this list is a snapshot. Trying to keep tabs on seventeen ATS boards by hand is how you burn out by week two and miss the role anyway. Bookmarking individual jobs is the wrong move. Tracking the companies is the right one, and that is the whole point of doing this on Remoet:

  1. Pick the two or three companies above that match your stack and stage.

  2. Open them on Remoet and star them. Starring one company already turns on daily tracking.

  3. Connect your AI agent (Claude, Cursor, whatever you already use) over MCP and let it pull new roles from those companies as they post, filtered by the tech you actually work in.

  4. You read the ones that fit. You apply to the ones worth it.

That's it. This post is one month. The platform gives you the same thing every day, scoped to the companies you've already decided are worth your time.

The honest version

Freshly funded means small. Some of these boards have three to six roles and they move fast. That's the nature of early-stage. It's also why tracking beats bookmarking.

Funding is a hiring signal, not a safety signal. A big round means they're about to hire hard. It does not mean the company will exist in three years. Weigh that for your own risk tolerance, especially at seed stage.

Some of these are gated. Venus is ITAR and US-only. A few others are US or US-plus-Canada. Check location and work-authorization requirements before you invest time.

This is a snapshot. Next month's list will look different. That's the entire point of tracking the platform instead of saving this page.

Happy hunting. New batch next month.

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