Voxel Energy jobs

General Opportunity Remote WHO ARE WE Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. THE ROLE General Application - Future Opportunities At Voxel, we're always looking to connect with talented, mission-driven individuals who are excited about using AI to make the workplace safer and more efficient. Even if we don't have a role open today that matches your background, we'd still love to hear from you. We regularly review general applications and reach out when there's a strong fit with upcoming opportunities across teams like Customer Success, Sales, Engineering, Product, and Operations. WHAT YOU MIGHT WORK ON Depending on your background and interests, you could: - Partner with customers to translate AI-driven insights into meaningful operational and safety improvements - Analyze data to identify trends, risks, and opportunities for impact - Build and scale systems, products, or processes that drive real-world outcomes - Support onboarding, implementation, and long-term customer success - Collaborate cross-functionally with Product, Engineering, and Go-To-Market teams - Contribute to playbooks, tools, and best practices as we grow WHO WE'RE LOOKING FOR We're excited to hear from you if you: - Are passionate about improving safety, operations, or risk through technology -

Software Engineer, Perception San Francisco, CA | Hybrid | Remote WHO WE ARE Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. WHAT YOU'LL DO We are seeking a highly motivated and bright engineer to join our team and devise elegant solutions to challenging problems. This role will focus on designing and implementing systems to support Voxel's ML development. As a part of the perception team, you should be comfortable working in a fast-paced environment and solving problems across the software stack. We require engineers to be versatile and possess the ability to move across projects and tackle new challenges. RESPONSIBILITIES - Develop and productionize state-of-the-art computer vision algorithms for object detection, tracking, pose estimation, activity recognition, and anomaly detection in complex indoor environments like warehouses and retail spaces. - Implement and optimize computer vision techniques for high-throughput, low-latency applications on edge compute devices. - Streamline ML data ingestion, retraining pipelines, and model redeployment workflows. - Build and maintain reliable, scalable pipelines for continuous training and deployment of ML models in production environments. - Partner with Sales, Customer Success, and Field Engineering to architect ML-driven solutions tailored to customer needs and deployment contexts. QUALIFICATIONS MUST-HAVES

Founding Forward Deployed Engineer San Francisco, CA | Hybrid | Remote WHO ARE WE Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. THE ROLE You will act as the tip of the spear for our go-to-market efforts. By rapidly prototyping, integrating with legacy data streams, and shipping production-ready code, you will directly convert operational bottlenecks into scalable platform features. As the first engineer in this function, you will define how Voxel ships software to the field and build the technical foundation necessary to scale our deployment velocity. If you enjoy building computer vision systems that operate outside the lab - learning from messy real-world data and shipping models that directly improve safety and operations - this role offers the opportunity to have a direct impact on how industrial facilities operate. WHAT YOU'LL DO Build enterprise deployments - Ship for impact. Architect and write the code that makes Voxel work in the real world. You will build the end-to-end systems (frontend, backend, infrastructure) that unlock massive operational efficiency for enterprise customers. - Integrate our computer vision models with messy, existing facility infrastructure and legacy data streams. - Example Use Case: Architecting an end-to-end system for

Customer Success Associate Remote WHO WE ARE Industrial labor powers our world and protecting the people who do that work is both a moral imperative and a business advantage. At Voxel, we're transforming workplace safety and operational efficiency through AI-driven computer vision technology that helps organizations see unseen risks before incidents occur. Voxel's platform enables Fortune 500 safety and operations leaders to uncover root causes, drive proactive risk reduction, and make smarter, data-driven decisions. Our Solutions Engineering team ensures customers successfully adopt, deploy, and scale Voxel across complex enterprise environments. THE ROLE As a Customer Success Associate at Voxel, you will be on the front lines of helping customers get real value from our platform. You'll own the onboarding and training experience for new users, manage a book of existing sites, and serve as the primary point of contact for a set of mid-market accounts. Working closely with senior Customer Success Managers, you'll ensure customers are set up for long-term success from day one. This is an excellent opportunity for someone early in their career who is passionate about customer experience, eager to learn the craft of enterprise customer success, and excited to work at the intersection of AI and industrial safety. WHAT YOU'LL DO - Lead onboarding and training sessions for new users across customer sites, ensuring smooth adoption of the Voxel platform. - Manage a book of existing sites, maintaining strong relationships and driving ongoing platform engagement. - Own end-to-end customer relationships for a portfolio of mid-market accounts,

Enterprise Account Executive, Industrial & Supply Chain Remote Who Are We Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. We're seeking an experienced Enterprise Sales Director with a strong track record in B2B technology sales, ideally in SaaS-based EHNS, business insights, or risk management. This role will play a critical part in expanding our presence within operations and safety departments at Fortune 500 companies. The ideal candidate thrives in a fast-paced environment, excels at building and managing strategic relationships, and is passionate about solving complex challenges. You'll help drive growth across departments and functions, positioning Voxel as a trusted partner in safety. The Opportunity We are seeking two highly motivated Enterprise AE's to drive net-new revenue growth across large enterprise accounts. This is a true hunter role focused on acquiring strategic Fortune 500 customers within manufacturing, logistics, warehousing, transportation, retail distribution, and industrial operations. The ideal candidate has experience selling complex enterprise software or technology solutions into operations leaders, supply chain executives, safety organizations, manufacturing leaders, or logistics teams. They have consistently closed high-value enterprise deals, built executive-level relationships, and navigated long, multi-stakeholder sales cycles. You thrive in ambiguity, enjoy building territories from the

Tier 3 Support Engineer Remote WHO WE ARE Industrial labor powers our world and protecting the people who do that work is both a moral imperative and a business advantage. At Voxel, we're transforming workplace safety and operational efficiency through AI-driven computer vision technology that helps organizations see unseen risks before incidents occur. Voxel's platform enables Fortune 500 safety and operations leaders to uncover root causes, drive proactive risk reduction, and make smarter, data-driven decisions. Our Solutions Engineering team ensures customers successfully adopt, deploy, and scale Voxel across complex enterprise environments. THE ROLE As a Tier 3 Support Engineer at Voxel, you are the deepest technical escalation point in our support organization, the last line of defense before Engineering. You will own the most complex, high-severity issues across our platform, working at the code and infrastructure level to diagnose root causes and drive permanent fixes. You'll serve as a critical bridge between Support, Engineering, and Product, influencing how we build for reliability and scale. This role is built for a seasoned engineer who combines deep technical expertise with strong customer instincts and a passion for solving problems others can't. WHAT YOU'LL DO - Own resolution of the most complex, high-severity escalations across Voxel's platform, including issues spanning edge hardware, networking, AI inference, and cloud infrastructure. - Conduct root cause analysis at the code, configuration, and infrastructure level, partnering directly with Engineering to drive permanent fixes. - Act as the authoritative technical escalation point for Tier 2, Customer Success, and Solutions

Customer Success Manager, Mid-Market Remote WHO WE ARE Industrial labor powers our world and protecting the people who do that work is both a moral imperative and a business advantage. At Voxel, we're transforming workplace safety and operational efficiency through AI-driven computer vision technology that helps organizations see unseen risks before incidents occur. Voxel's platform enables Fortune 500 safety and operations leaders to uncover root causes, drive proactive risk reduction, and make smarter, data-driven decisions. Our Solutions Engineering team ensures customers successfully adopt, deploy, and scale Voxel across complex enterprise environments. THE ROLE As a Mid-Market Customer Success Manager at Voxel, you will own the full post-sale lifecycle for a portfolio of mid-market accounts, from onboarding through renewal and expansion. You'll serve as the primary relationship owner for your customers, driving platform adoption, delivering measurable value, and ensuring long-term retention. You'll also work closely with Customer Success Associates who support site-level training and deployment across your book of business. This is a great fit for a driven CSM who thrives on owning outcomes, building strong customer relationships, and operating with a high degree of autonomy. WHAT YOU'LL DO - Own end-to-end customer relationships across a portfolio of mid-market accounts, serving as the primary point of contact post-sale. - Drive successful onboarding and time-to-value for new customers, coordinating closely with Solutions Engineering and CS Associates. - Develop and execute account plans that drive platform adoption, engagement, and measurable safety and operational outcomes. - Lead regular business reviews with customer stakeholders, communicating

Tier 2 Support Engineer Remote WHO WE ARE Industrial labor powers our world and protecting the people who do that work is both a moral imperative and a business advantage. At Voxel, we're transforming workplace safety and operational efficiency through AI-driven computer vision technology that helps organizations see unseen risks before incidents occur. Voxel's platform enables Fortune 500 safety and operations leaders to uncover root causes, drive proactive risk reduction, and make smarter, data-driven decisions. Our Solutions Engineering team ensures customers successfully adopt, deploy, and scale Voxel across complex enterprise environments. THE ROLE As a Tier 2 Support Engineer at Voxel, you will be the critical second line of defense for our enterprise customers, owning complex technical issues that require deeper investigation beyond front-line support. You'll work directly with customers, internal CS teams, and engineering to diagnose problems, drive resolution, and ensure a seamless platform experience across diverse deployment environments. This role is ideal for a technically strong engineer who enjoys solving ambiguous problems, communicates clearly with customers, and wants to work at the cutting edge of AI-powered computer vision. WHAT YOU'LL DO - Own and resolve escalated technical issues from Tier 1, serving as the primary point of escalation for complex platform, network, and hardware-related problems. - Conduct deep-dive troubleshooting across Voxel's edge AI platform, including device connectivity, camera configurations, network infrastructure, and software behavior. - Collaborate closely with Customer Success Managers to communicate issue status, set expectations, and ensure timely resolution for enterprise accounts. - Reproduce and document

Senior Software Engineer, ML Infrastructure San Francisco, CA | Hybrid | Remote WHO WE ARE Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. Our customers include Fortune 500 companies across grocery, retail, manufacturing, food and beverage, logistics, and pharmaceutical distribution. We've passed $10M ARR with strong expansion revenue. Based in SF, backed by industry-leading VCs. ABOUT THE ROLE Voxel's perception system is the technical core of everything we ship. Our models detect human activity, equipment interactions, environmental hazards, and operational state in real time across thousands of cameras in manufacturing, logistics, retail, and pharmaceutical environments. Safety was our wedge; it proved our platform works. Now customers are pulling us into operations: equipment utilization, workflow compliance, process efficiency. Every new use case runs through the perception team. We're hiring a strong software engineer to own the ML Infrastructure that powers how Voxel trains and ships vision models. You'll build systems that let our applied ML team train multiple models concurrently, manage experiments and ship optimized models to production. You'll set technical direction, write code, make architecture calls, and partner closely with applied CV, ML Data and Platform engineers. WHAT YOU'LL DO - Build and maintain

Senior Software Engineer, ML Data San Francisco, CA | Hybrid | Remote SENIOR SOFTWARE ENGINEER, ML DATA San Francisco, CA · Hybrid · Reports to Head of Vision & AI WHO WE ARE Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. Our customers include Fortune 500 companies across grocery, retail, manufacturing, food and beverage, logistics, and pharmaceutical distribution. We've passed $10M ARR with strong expansion revenue. Based in SF, backed by industry-leading VCs. ABOUT THE ROLE Voxel's perception system is the technical core of everything we ship. Our models detect human activity, equipment interactions, environmental hazards, and operational state in real time across thousands of cameras in manufacturing, logistics, retail, and pharmaceutical environments. Safety was our wedge; it proved our platform works. Now customers are pulling us into operations: equipment utilization, workflow compliance, process efficiency. Every new use case runs through the perception team. We're hiring a strong software engineer to own the data infrastructure required to train and evaluate our ML models. You'll work with petabytes of data streaming from thousands of live customer cameras, and build pipelines to ingest, search, label, version and store the highest quality of data required to train

Staff Software Engineer, ML Infrastructure San Francisco, CA | Hybrid | Remote WHO WE ARE Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. Our customers include Fortune 500 companies across grocery, retail, manufacturing, food and beverage, logistics, and pharmaceutical distribution. We've passed $10M ARR with strong expansion revenue. Based in SF, backed by industry-leading VCs. ABOUT THE ROLE Voxel's perception system is the technical core of everything we ship. Our models detect human activity, equipment interactions, environmental hazards, and operational state in real time across thousands of cameras in manufacturing, logistics, retail, and pharmaceutical environments. Safety was our wedge; it proved our platform works. Now customers are pulling us into operations: equipment utilization, workflow compliance, process efficiency. Every new use case runs through the perception team. We're hiring a Staff Software Engineer to own ML Infrastructure at Voxel. Our applied ML team is shipping vision models into production every week, across thousands of cameras at Fortune 500 customers, and the infrastructure underneath determines how fast we can move. You'll set the technical direction for how we train, track, and ship vision models, build the foundational systems that the applied ML team relies on, and

Tech Lead Manager, Vision & AI San Francisco, CA | Hybrid | Remote ABOUT THE ROLE Voxel's perception system is the technical core of everything we ship. Our models detect human activity, equipment interactions, environmental hazards, and operational state in real time across thousands of cameras in manufacturing, logistics, retail, and pharmaceutical environments. Safety was our wedge; it proved our platform works. Now customers are pulling us into operations: equipment utilization, workflow compliance, process efficiency. Every new use case runs through the perception team. We're hiring a Tech Lead Manager to own the applied ML work that drives every new capability we ship. You'll set technical direction, write code, make architecture calls, and build a small team of engineers who take modern ML (VLMs, segmentation, tracking, temporal models) and turn it into things that work in real warehouses, on all kinds of cameras, for demanding customers. This is a hands-on role. You'll ship weekly, debug production problems, sit on customer calls, and own outcomes end to end. If you want a research org behind you, this isn't it. If you want to see your model running in 200 facilities weeks after you trained it, read on. WHAT YOU'LL DO - Set technical direction for Voxel's vision and ML capabilities: what we build, how we build it, how we know it works. - Hire and lead a small team of applied ML engineers. Set the bar, set the goals, set the culture. - Stay in the code. Architecture decisions, model reviews,

Project Manager, Ford Energy Dearborn, MI, United States Ford Energy is a newly formed, wholly-owned subsidiary of Ford Motor Company dedicated to accelerating U.S. energy independence. Leveraging Ford's century of manufacturing excellence and world-class battery energy storage systems (BESS) technology, Ford Energy designs, manufactures, and services grid-scale and commercial DC battery energy storage systems (BESS). Ford Energy is uniquely positioned to capture the growing demand for reliable, US-built energy storage systems. We are not just building batteries; we are building the infrastructure for the next generation of the American grid. Why Ford Energy? At Ford Energy, you have the backing of an industrial manufacturing powerhouse with the agility of a dedicated energy startup offering industry leading technology. We offer a competitive compensation package including performance-based bonuses, Ford vehicle discounts, and the opportunity to shape the energy strategy of one of the world's most iconic brands.

Product Cybersecurity Manager, Ford Energy Dearborn, MI, United States Ford Energy is a newly formed, wholly-owned subsidiary of Ford Motor Company dedicated to accelerating U.S. energy independence. Leveraging Ford's century of manufacturing excellence and world-class battery energy storage systems (BESS) technology, Ford Energy designs, manufactures, and services grid-scale and commercial DC battery energy storage systems (BESS). Ford Energy is uniquely positioned to capture the growing demand for reliable, US-built energy storage systems. We are not just building batteries; we are building the infrastructure for the next generation of the American grid. Why Ford Energy? At Ford Energy, you have the backing of an industrial manufacturing powerhouse with the agility of a dedicated energy startup offering industry leading technology. We offer a competitive compensation package including performance-based bonuses, Ford vehicle discounts, and the opportunity to shape the energy strategy of one of the world's most iconic brands.

Supervisor BESS Battery Modeling, Ford Energy Dearborn, MI, United States About Ford Energy Ford Energy is a newly formed, wholly owned subsidiary of Ford Motor Company dedicated to accelerating US energy independence. Leveraging Ford's century of manufacturing excellence and world-class battery energy storage systems (BESS) technology, Ford Energy designs, manufactures, and services grid-scale and commercial DC battery energy storage systems (BESS). Ford Energy is uniquely positioned to capture the growing demand for reliable, US-built energy storage systems. We are not just building batteries; we are building the infrastructure for the next generation of the American grid.

Solution Architect, Energy 4 Locations posted: Posted 30+ Days Ago

Senior Architecture Energy Modeling Engineer 2 Locations posted: Posted 30+ Days Ago

Research Scientist – Controlled 3D Generation Remote Research Scientist - Controlled 3D Generation Location: Remote About the Role We're seeking a Research Scientist passionate about 3D generation, flow matching, and diffusion models . You'll help advance the frontier of controllable 3D content creation-building models that generate consistent, editable, and physically grounded 3D assets and scenes. What You'll Do - Conduct cutting-edge research on flow-matching, diffusion, and score-based methods for 3D generation and reconstruction. - Design and implement scalable training pipelines for controllable 3D generation (meshes, Gaussians, NeRFs, voxels, implicit fields). - Develop techniques for conditioning and control (text, sketch, pose, camera, physics) and multi-view consistency. - Analyse model behaviour through ablations, visualisations, and quantitative metrics. - Collaborate with cross-disciplinary research, graphics, and infrastructure teams to translate research into production-ready systems. - Publish results at top-tier venues and work with interns. What You Bring - PhD (or equivalent experience) in Machine Learning, Computer Vision, or Computer Graphics. - Published work on diffusion, flow-matching, or score-based generative models (2D or 3D). - Strong engineering and problem-solving abilities: experience with PyTorch, JAX, or CUDA-level optimisation . - Understanding of 3D representations (meshes, Gaussians, signed-distance fields, volumetric grids, implicit networks). - Solid grasp of geometry processing, multi-view consistency, and differentiable rendering . - Ability to scale experiments efficiently and communicate complex results clearly. Bonus / Preferred - Experience generating coherent 3D scenes with multiple interacting objects, lighting, and spatial layout. - Familiarity with scene-level control (object placement, camera path, simulation, or text-to-scene composition). -

Power Performance Architect, Senior Staff - Accelerator Design Santa Clara, Santa Clara, Ca, Ca, United States At d-Matrix , we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive , and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together , we can help shape the endless possibilities of AI. Location: Hybrid, working onsite at our Santa Clara, Ca headquarters 3-5 days per week. What You Will Do: • Responsible for pre-silicon power estimation of the blocks in design. The responsibility includes both RTL power estimation as well as Physical design power estimation of the blocks. • You will work with front-end and DV engineers to identify the windows of power activity in the design. You will work with the RTL team to ensure that the feedback from the estimation is implemented and results in optimizing power. • Build an architectural power estimation tool for AI workloads to compute power based on system configuration and die level metrics. This will include workload profiling using external/internal memory size, bandwidth, gate counts, of compute/memory blocks. • You will work with frontend architects and backend design to compile the performance monitor availability,

Research Scientist Intern, Audio Quality with AI (PhD) Redmond, WA The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR, VR and MR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interfaces, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR, VR and MR that are so compelling that they become an integral part of our lives. In particular, the Meta Reality Labs Research audio team is focused on two goals; creating virtual sounds that are perceptually indistinguishable from reality, and redefining human hearing. See more about our work here: Inside Facebook Reality Labs Research: The future of audio and Filter Out the Noise With Conversation Focus. These two initiatives will allow us to connect people by allowing them to feel together despite being physically apart, and allow them to converse in even the most difficult listening environments. Meta Reality Labs Research is looking for an intern who is passionate about speech perception and audio quality to investigate why processed speech sometimes

Engineer III General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems. Join our Perception group to design and implement a real-time Dynamic Environment Model (DEM) to support multi-sensor fusion, track management, and sensor resource management across advanced unmanned systems. This role will design and implement the perception and fusion infrastructure that aggregates radar, EO/IR, ESM, and other sensor inputs into a coherent, uncertainty-aware spatiotemporal world model, enabling high-confidence situational awareness and autonomous decision-making. This role focuses on real-time systems, probabilistic fusion, tracking, data structures, and performance-critical C++. DUTIES AND RESPONSIBILITIES: - Build and optimize real-time DEM data structures: - Spatiotemporal voxel grids / occupancy & belief fields - Confidence, decay, and provenance tracking - Implement deterministic fusion + perception infrastructure: - Sensor synchronization, buffering, time alignment, calibration - Real-time data association and multi-sensor integration - Support tracking engineers implementing IMM-EKF/UKF, JPDA, and data association models - Design and maintain low-latency transport (ZMQ/DDS/ROS2, shared memory, lock-free queues) - Develop tools for: - Replay and Monte-Carlo evaluation - Field test debug & metrics - Live introspection and visualization of DEM states & tracks - Collaboration - Work closely with: - Tracking & state estimation engineers - ML engineers building feature and occupancy networks - Autonomy stack and mission systems teams - Contribute to sim-to-real validation We recognize and appreciate the value and contributions of individuals with diverse backgrounds and

Member of Technical Staff - VLM Freiburg (Germany) About Black Forest Labs We're the team behind Latent Diffusion, Stable Diffusion, and FLUX - foundational technologies that changed how the world creates images and video. Our models power the tools used by millions of creators, developers, and businesses worldwide, and FLUX is among the most advanced generative systems in the world. Headquartered in Freiburg, Germany with a growing presence in San Francisco, we're scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity. Why This Role Vision-language models are becoming foundational to how people interact with generative AI - but most VLM research happens in isolation from the generation stack. At Black Forest Labs, we're integrating VLMs directly into FLUX in ways that make our models more powerful, more controllable, and more aligned with what creators actually want. This role is about pioneering that integration. You won't be applying off-the-shelf VLMs - you'll develop novel approaches, innovate on architectures, and answer questions that haven't been solved yet: how vision and language representations inform each other, how multimodal understanding improves generation quality, and how to make these capabilities deployable at scale without compromising what makes FLUX exceptional. This is a Staff / Senior IC role. We're looking for someone who has pretrained or significantly advanced a VLM, not just fine-tuned one. What You'll Work On - Lead development and training of state-of-the-art multimodal vision-language models within the FLUX stack - innovating

Member of Technical Staff - Image / Video Generation Freiburg (Germany) About Black Forest Labs We're the team behind Latent Diffusion, Stable Diffusion, and FLUX-foundational technologies that changed how the world creates images and video. We're creating the generative models that power how people make images and video-tools used by millions of creators, developers, and businesses worldwide. Our FLUX models are among the most advanced in the world, and we're just getting started. Headquartered in Freiburg, Germany with a growing presence in San Francisco, we're scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity. Why This Role You'll train large-scale diffusion models for image and video generation, exploring new approaches while maintaining the rigor that helps us distinguish meaningful progress from incremental tweaks. This isn't about following established recipes-it's about running the experiments that clarify which architectural choices matter and which are less impactful. What You'll Work On - Trains large-scale diffusion transformer models for image and video data, working at the scale where intuitions break and empirical evidence matters - Rigorously ablates design choices-running experiments that isolate variables, control for confounds, and produce insights you can actually trust-then communicating those results to shape our research direction - Reasons about the speed-quality tradeoffs of neural network architectures in production settings where both constraints matter simultaneously - Fine-tunes diffusion models for specialized applications like image and video upscalers, inpainting/outpainting models, and other tasks where general-purpose models aren't enough What

Junior System Modeling Palo Alto, CA I US Remote About Unconventional AI We are rethinking the foundations of the computer to optimize energy efficiency for AI. Founded by pioneers in the field - including Naveen Rao (Nervana, MosaicML) and Michael Carbin (MIT, MosaicML) - we are building a new computational substrate that interfaces directly with the physics of silicon to achieve biology-scale efficiency. We recently raised $475M in seed funding to turn this vision into reality. As a Junior Member of Technical Staff, System Modeling , you will work closely with senior engineers to contribute to the development of our multi-disciplinary simulation frameworks. You will assist the hands-on R&D team in building simulation environments that enable rapid iteration and testing across all layers of our unconventional physics-based computing systems for machine learning workloads. Your work will focus on integrating physics-based models, developing GPU-accelerated simulations, and supporting the cross-layer system integration necessary for "Extreme co-design". Key Responsibilities - Contribute to the implementation and optimization of GPU-accelerated simulators for ML on analog/unconventional hardware, focusing on specific modules and features within PyTorch. - Assist in integrating physics-based device and system models into the PyTorch simulation environment to help expose early algorithm-hardware tradeoffs and enable cross-layer optimization. - Support the maintenance and extension of the unified end-to-end simulation environment, helping to link theory, algorithms, and device models, and ensuring alignment between high-level and near-physical simulators. - Help implement and adhere to robust experiment tracking protocols to ensure simulation results, configurations, and non-idealities are reproducible