NewSoftware Engineer, Data Infrastructure (Staff) LightfieldSoftware Engineer, Data Infrastructure (Staff)San Francisco, CaliforniaWe got remarkably far on a deliberately simple stack: Postgres as the system of record, a sharded transactional outbox for change events, Redis-buffered sync into Typesense for search, BullMQ for processing, and Postgres-backed customer-facing analytics with per-organization row-level security. Customers define their own objects, attributes, and relationships at runtime, so the core data model is a schema-flexible, graph-shaped store: entity-attribute-value with typed edges, versioned attribute values, and relationship history.
Data/ML Infrastructure Engineer Matter IntelligenceData/ML Infrastructure EngineerSan Francisco, CaliforniaWe are seeking a Data Infrastructure Engineer to build and operate the infrastructure that turns drone, aerial, and orbital sensing data into production datasets, models, and customer-facing insights. Experience building internal platform primitives such as data versioning and lineage, dataset curation, experiment tracking, or tooling for reproducible workflows.
Research Engineer - RL Infrastructure Prime IntellectResearch Engineer - RL InfrastructureSan Francisco, CaliforniaOur platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them.
Senior / Staff Infrastructure Engineer ApiphanySenior / Staff Infrastructure EngineerSan Francisco, CaliforniaWe empower global innovators in automotive, aerospace, medtech, and energy to transform mountains of unstructured technical data into real-time, actionable insights. Backed by world-class investors from Markforged, Databricks, GM, and Character, our mission is to revolutionize how engineering decisions are made, turning complexity into clarity for the world’s top manufacturers.
Infrastructure Engineer ChalkInfrastructure EngineerSan Francisco, CaliforniaAt Chalk we are solving problems drawn from the fields of DBMS query planning & optimization, compilers, and distributed analytical data processing systems. Leading companies depend on Chalk for everything from stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture.
AI Infrastructure Engineer / MLOps Eitacies IncAI Infrastructure Engineer / MLOpsSan Francisco, CAFull timeEITACIES is looking for an experienced AI Infrastructure Engineer to support large scale AI and machine learning platforms running in cloud native environments. Support MLOps workflows including model deployment, monitoring, and operationalization.
Machine Learning Infrastructure Engineer Genesis Molecular AIMachine Learning Infrastructure EngineerSan MateoYou will work alongside machine learning researchers, computational scientists, and engineers to build the infrastructure that transforms massive, heterogeneous protein and chemical datasets into reliable, high-performance inputs for our models and drug discovery workflows. Our generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction.
Software Engineer - Core Infrastructure Genesis Molecular AISoftware Engineer - Core InfrastructureSan MateoOur generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. Genesis has also signed category-leading AI-pharma deals, the most recent of which was a significant expansion with Incyte (see coverage in Forbes and GEN ) with a total potential deal value of several billion dollars.
Member of Technical Staff - RL Infrastructure VmaxMember of Technical Staff - RL InfrastructureSan Francisco, CaliforniaThis role is for strong infrastructure engineers who can build the systems layer for RL at scale: distributed rollouts, training orchestration, inference, evals, data pipelines, observability, and reliability. Evidence of strong independent technical work, such as open-source projects, infrastructure projects, competitions, or substantial systems built from scratch.
AI Infrastructure Engineer AxonAI Infrastructure EngineerSan Francisco, CA$154,388–$247,020 / yearIn your first 6 months, you will help establish a repeatable internal tool lifecycle program, improve the operational model for Vercel-hosted applications, harden multiple prototypes or inherited tools into supportable applications, and reduce the maintenance burden on engineers focused on net-new development. In your first 90 days, you will begin owning maintenance for a set of internal applications, improve deployment and monitoring patterns for priority tools, support at least one application through testing or rollout, and establish early production readiness expectations for tools moving beyond prototype stage.
Infrastructure Engineer (Storage) Lightning AIInfrastructure Engineer (Storage)San Francisco, CA$180,000–$220,000 / yearLightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. You will work at the intersection of software, hardware, and operations-developing automation, improving reliability, and scaling distributed storage systems across our bare-metal infrastructure.
Data Infrastructure Engineer AlljoinedData Infrastructure EngineerSan Francisco, California$140,000–$180,000 / yearAre capable of working across hybrid environments to define storage topologies, manage databases (TimescaleDB, ClickHouse), and sync massive datasets between on-premise edge servers and the cloud (AWS/GCP/Azure). You'll be owning our entire data lifecycle, from building pipelines that process massive multimodal datasets (video, audio, text, time-series) to provisioning and managing both cloud and bare metal compute clusters we use to train on it.
AI Infrastructure Engineer SpellbrushAI Infrastructure EngineerSan Francisco, CaliforniaSpellbrush, the world’s leading generative AI studio behind nijijourney , is looking for an AI Infrastructure Engineer to join us in building out end-to-end ML infrastructure to run our models on all platforms. Work alongside a fast-paced and nimble team developing the latest state-of-the-art image generation models serving over 16 million users.
Infrastructure Engineer FlintInfrastructure EngineerSan Francisco, CaliforniaTechCrunch Imagine a website that builds new pages, tests creative, and optimizes performance in response to real-world signals: competitive shifts, user behavior, trending search queries, the way an autonomous vehicle responds to road conditions and traffic. - Dan Levine, Accel Flint is led by co-founders Michelle Lim , Engineer #1 turned Head of Growth and Product at Warp, and Max Levenson , engineering leadership at autonomous vehicle startup Nuro, then Engineer #2 at Vooma (YCS23).
HPC/ML Infrastructure Engineer SpellbrushHPC/ML Infrastructure EngineerSan Francisco, CaliforniaYou’ll serve as the bridge between our researchers and the bare GPU machines, helping to make sure that SLURM jobs are running, parallel filesystems are serving, network is transmitting, and that the anime models are training. Now the landscape has become unbelievable complex, with SLURM deploys through Slinky on K8s, provisioning through warewulf/MAAS/ansible, filesystems through WEKA/VAST/Ceph, VPN and access through tailscale, and monitoring via the Grafana/Prometheus stack.
Member of Technical Staff — Inference Infrastructure Causal LabsMember of Technical Staff — Inference InfrastructureSan Francisco, CaliforniaOur founding team has built and deployed AI against the physical world in robotics, drug discovery, and particle physics at institutions like DeepMind, Waymo, Cruise, Insitro, Nabla Bio, and CERN. Progress on an LPM is gated by how fast we can evaluate it: large-scale backtesting against decades of physical observations, ensemble generation, and rollout evaluation across model scales.
Member of Technical Staff - Infrastructure Asari AIMember of Technical Staff - InfrastructureSan Francisco, CaliforniaOur agents tackle long-horizon, high-performance workloads, and you'll design the cloud compute, distributed systems, and sandboxed tooling that keeps them reliable, efficient, and ready to scale. For example, our agents can efficiently reason about and verify mission-critical code, including migrating space-grade software from C to Safe Rust .
Member of Technical Staff — Training Infrastructure Causal LabsMember of Technical Staff — Training InfrastructureSan Francisco, CaliforniaOur founding team has built and deployed AI against the physical world in robotics, drug discovery, and particle physics at institutions like DeepMind, Waymo, Cruise, Insitro, Nabla Bio, and CERN. Research and test parallelization strategies and numerical precision trade-offs across model scales, including for architectures that don't map cleanly onto existing LLM training stacks.
Software Engineer, Data Infrastructure & Acquisition - Oakland, CA, USA SpeechifySoftware Engineer, Data Infrastructure & Acquisition - Oakland, CA, USAOakland, CAOver 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Software Engineer, Data Infrastructure & Acquisition - San Mateo, CA, USA SpeechifySoftware Engineer, Data Infrastructure & Acquisition - San Mateo, CA, USASan Mateo, CAOver 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.