Tesseract jobs

Software Engineer, Backend San Jose Office (HQ), San Jose, California, United States, New York City Office, Seattle Office, San Francisco Office At Tessera Labs, we're revolutionizing business process automation with cutting-edge AI technology. Backed by Foundation Capital and led by a world-class founding team, we're building a high-impact engineering group to bring AI-powered automation to the enterprise world. Our multi-agent AI systems transform complex business workflows-eliminating inefficiencies, optimizing operations, and enabling seamless integrations across platforms like SAP, Salesforce, and Workday. We move fast, solve hard problems, and build at the bleeding edge of AI. About the Role We're looking for a Backend Engineer (Mid-Level) who thrives in a fast-paced, high-ownership startup environment. You'll help design, build, and maintain the backend systems that power Tessera's AI automation platform - including scalable APIs, data pipelines, and integrations with enterprise systems. This role is hands-on and ideal for someone who enjoys building distributed systems, solving challenging backend problems, and contributing to architectural discussions in a collaborative, fast-moving team. Key Responsibilities Core Development - Design, develop, and maintain RESTful APIs and backend services using Python (FastAPI, SQLAlchemy). - Build reliable microservices that support data processing, automation, and AI system integrations. - Implement and optimize database schemas, queries, and caching for performance and scalability. - Contribute to data pipelines and synchronization services across enterprise integrations. AI & Systems Integration - Connect backend services with AI model servers, vector databases, and automation workflows. - Enable smooth data exchange between AI agents and enterprise systems like Salesforce,

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Sr. Technical Recruiter - Contract Remote in the U.S., Remote, United States, San Jose Office (HQ) Our ideal candidate is located in the San Francisco Bay Area, while other locations are also considered. About Tessera Labs Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and with a recent $60M Series A round led by Andreessen Horowitz, we build multi-agent AI systems that can automate complex business workflows across platforms like SAP, Salesforce, Workday, Snowflake, MuleSoft, and more. Our mission : Bring real AI automation to the enterprise - with speed, precision, and measurable impact. We move fast, operate with extreme ownership, and build at the frontier of applied AI. Tessera Labs is an AI-driven technology company scaling rapidly-and we're hiring a Contract Senior Technical Recruiter to own Engineering hiring end to end. This role is perfect for someone who thrives in startup environments, loves full-cycle recruiting, and knows how to partner with hiring managers to deliver top talent in competitive tech markets. What You'll Do : - Own full-cycle recruiting for Engineering (Forward Deployed Engineers "FDE", Technical Project Managers, Machine Learning Engineers, Data Engineers, Cloud Infrastructure, Sales Enablement, Platform, Frontend and Backend) - Partner closely with hiring managers to define hiring needs and priorities - Source, engage, and close high-quality candidates in tech and AI markets - Manage pipelines, interviews, offers, and candidate experience - Attend local recruiting events for in-person sourcing - Planning of in-house recruiting events - Use data and insights

Forward-Deployed Engineer New York City Office, New York City, New York, United States, San Francisco Office, San Jose Office Office Locations: Union Square, NYC (Hybrid); San Francisco (Hybrid); San José HQ (Hybrid) Remote work: Tessera is a remote company. However, FDEs must have a home base at one of our office locations. Travel: Required for customer engagements, with a wide variance per customer, of up to 50% Deployment at Customer Site: Up to 2-3 days a week at customer site depending on customer and phase of engagement Relocation stipend: Provided About Tessera Labs Tessera Labs has raised a 60M Series A led by Andreessen Horowitz to solve a class of problem that has never been attempted: software integration as software. Our AI platform, Tessera Mosaic, is deployed across the systems of record of the world's largest corporations, automating the most complex manual business workflows with superhuman quality and speed. Tessera deploys frontier AI agents across SAP, Oracle, Salesforce, Workday, ServiceNow, and others, disrupting the business transformation industry previously monopolized by System Integrators (SIs). Tessera is deployed at multibillion dollar companies driving various initiatives, including: 1) enterprise ERP migrations (these range from 8 to 9 figures in cost over multiple years) 2) post-M&A integrations; 3) multi-ERP intelligence-or, deploying the centralized brain for all system-of-record operations 4) New code and application development for complex, multi-ERP systems Role Summary As a Forward-Deployed Engineer (FDE) at Tessera, you will be driving how global enterprises deploy AI at scale. You will own our most strategic

Senior Data Engineer – ERP Data Harmonization & Enterprise Data Platform San Francisco Office, San Francisco, California, United States, New York City Office Location : San Jose, CA or New York City Remote : Considered; travel required About Tessera Labs Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that automate complex business workflows across platforms such as SAP, Salesforce, Workday, Snowflake, MuleSoft, and more. Our mission is to bring real AI automation to the enterprise-delivering speed, precision, and measurable impact. We operate with extreme ownership, move quickly, and build at the frontier of applied AI. Role Summary We are seeking a Senior Data Engineer to design and build scalable data solutions that harmonize enterprise data across multiple ERP ecosystems. This role focuses on integrating and standardizing data from Sage ERP , Baan / Infor LN , Oracle ERP , SaaS ERP platforms (such as NetSuite), and other enterprise systems into unified data models. The engineer will collaborate closely with ERP functional teams, Functional Data Experts (FDEs), and product engineers to translate complex business logic into robust data transformation pipelines and canonical enterprise data models. This role requires strong experience in SQL, Python, enterprise data modeling, and ERP data structures, combined with the ability to solve complex cross-system data inconsistencies and harmonization challenges. Why This Role Matters Enterprise organizations often operate across multiple ERP systems and business platforms, each with different schemas,

Multimodal Spatial Generative AI Researcher Atlanta, Georgia,United States

Geospatial Data Steward Bangalore,Karnataka,India

Oliver Wyman - Machine Learning Engineer, Generative AI & Unstructured Data - Lisbon Lisbon - Antonio posted: Posted Yesterday

Clincial Data Engineer DMOI Barcelona,Cataluña,Spain

UX Researcher Bangalore Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment. Its proprietary models, seamlessly integrated with Google's most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping. With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world's leading smartphone makers, connected TV manufacturers, telecom providers, and global brands - meeting people where they are: on mobile, smart TVs, and brand websites. Through Glance AI's rich first-party data and unparalleled consumer access, it harnesses InMobi's global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital. The Foresight & Behavioral Insights Unit exists to decode

Machine Learning Engineer 3D Geometry/ Multi-Modal EMEA - United Kingdom - London - Agar St posted: Posted 30+ Days Ago

Fabric SOC Architect United States Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. At Tenstorrent, we're building cutting-edge hardware and software solutions that power AI, HPC, and general-purpose workloads. As a Performance Architect on our Platform Architecture team, you'll work across ML software stacks, compilers, CPU design, cache coherency protocols, and interconnect fabrics to shape the future of high-performance systems. This role is all about bridging software execution and silicon design-making data-driven decisions that directly influence our SoC performance. This role is remote, based out of The United States. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are - Passionate about solving complex system-level performance problems. - Comfortable working across hardware and software boundaries. - Analytical and data-driven, with a talent for turning workloads into architectural insights. - Collaborative, thriving in cross-functional teams spanning

Billings and Collections Specialist Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a Senior Billing and Collections Analyst, you'll own the full order-to-invoice cycle, turning delivered hardware, professional services, and compute usage into accurate, timely invoices that support clean financial reporting and on-time customer payment. You'll serve as a key link between Sales, Services, and Finance by leading month-end billing close activities, translating contract terms into billing in NetSuite, and managing credits and adjustments with audit-ready documentation. You'll respond to billing inquiries, resolve order-to-invoice issues before they delay payment, and identify process improvements and

Spatial Data Subject Matter Expert Warminster, Wiltshire posted: Posted 30+ Days Ago

Sr. Semantics Computer Vision Research Bangalore,India

Software Engineer - Surfaces San Francisco Bay Area or Remote PlanetScale is growing rapidly and reinventing the database space. The PlanetScale platform offers both Postgres and Vitess clusters. Vitess, an open-source database clustering system for horizontal scaling of MySQL, enables businesses to efficiently handle large-scale data workloads - without sacrificing developer experience. Our customers entrust us with what is often their most precious digital asset, their data, so the stakes couldn't be higher. We're looking for a Software Engineer to join our Surfaces team. The Surfaces team is responsible for all user-facing UIs, CLIs and APIs. We build and maintain the PlanetScale dashboard, APIs and billing systems every PlanetScale user relies on to launch and manage their databases. What's the job to be done? You will work on app.planetscale.com , the central control plane for every PlanetScale database, responsible for the creation and management of some of the worlds most important Vitess and Postgres databases. You will get to work across languages. Our CLI is written in Go, the dashboard is React + TypeScript, and the backend API is Ruby on Rails. You will get the opportunity to learn and deeply understand Vitess and Postgres. Working with our design team, you will apply your skills and taste to solve database DX challenges. Building truly the best database for developers. You will build, document, and publish RESTful APIs used by both end users and our user-facing dashboard. You will work on internal admin tools (chatbots, admin panels) to assist our engineers

Cambridge Residency Programme: Next-Generation AI Datacentre Networking Cambridge, England, GB

Full Stack LLM Engineer Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role We are seeking a versatile and experienced engineer to join our Inference Core Model Bringup team. This team is responsible to rapidly bring up state-of-the-art open-source models (like LLaMA, Qwen, etc) or customer-provided proprietary models on our Cerebras CSX systems. Success in this role requires a system-minded generalist who thrives in fast-paced bringup environments and is comfortable working across the entire Cerebras software stack. Your work will play a critical role in achieving unprecedented levels of performance, efficiency, and scalability for AI

AI & Computer Vision Intern - Data augmentation Lausanne, Canton de Vaud, Switzerland About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. About the Role To train highly robust perception systems, we need aerial imagery spanning a massive variety of conditions. You will engineer an advanced Generative AI pipeline capable of completely transforming the context of existing datasets; shifting time-of-day (day to night), changing seasons (summer to winter), or altering entire biomes and weather systems; while perfectly preserving small, critical target objects like drones. - Refine the Generative Architecture: Take ownership of a sophisticated multi-pass diffusion pipeline (structural background replacement + lighting/atmospheric glazing) to seamlessly adapt scene contexts while maximizing physical realism. - Solve Edge Cases: Improve custom masking and high-res depth-patching algorithms (e.g., histogram matching, seamless blending) to anchor small objects in 3D space, eliminating generative artifacts and "sticker" effects. - Scale & Validate: Generate large-scale augmented datasets and rigorously quantify their impact on downstream model performance. Design experiments to measure how the inclusion and varying ratios of this synthetic data directly improve the

LLM Inference Performance & Evals Engineer Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role Join the inference model team dedicated to bring up the state-of-the-art models, numerically validating and accelerating new model ideas on wafer-scale hardware. You will prototype architectural tweaks, build performance-eval pipelines, and turn hard numbers into changes that land in production. Key Responsibilities - Prototype and benchmark cutting-edge ideas: new attentions, MoE, speculative decoding, and many more innovations as they emerge. - Develop agent-driven automation that designs experiments, schedules runs, triages regressions, and drafts pull-requests. - Work closely with compiler, runtime,

Full Stack Engineer (Analytics) Williamsburg, NY, United States Company Description: Shaped is an API for developers to seamlessly add personalized ranking and recommendation into their products. These frictionless discovery experiences help end-users find what they want faster, and, consequently, grow conversion and engagement business metrics. We're a seed stage start-up backed by top-tier investors (e.g. Y-Combinator, Susa Ventures, Tribe Capital etc…) and executives (e.g. Google, Amazon, Uber, Dropbox etc…). Our team comes from Meta, Google, Apple and Uber. We're a remote team but have a small office in Brooklyn, New York. Job Description: We are looking for a full-stack engineer to help build out monitoring and analytics tools to help our customers better understand the power of Shaped. You will be a founding engineer working on state-of-the-art AI infrastructure. As one of Shaped's early employees you will help shape our product, culture and vision. We're excited to work with you. Come build the future of AI with us! Qualifications: B.S., M.S., or Ph.D. in Computer Science or another technical field 3+ years of industry experience in a Software Engineering role Strong foundation in programming, data structures, algorithms, and software application design Passionate about solving challenging problems and iterating quickly Previous experience in analytics, machine learning or data processing is advantageous. Excellent written and verbal communication skills. Additional Information: Salary $100K - $150K Equity 0.10% - 0.30%

Video Algorithms Intern, Video Coding (Gaussian Splatting), Fall 2026 Los Gatos,California,United States of America At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. The Role Gaussian Splatting (GS) is a 3D/4D scene reconstruction technique that enables photorealistic novel-view synthesis with low rendering complexity, making it attractive for deployment on consumer devices such as TVs, streaming sticks, phones, and laptops. Realizing this vision requires addressing several open technical challenges, such as a significant reduction in model training/encoding time and more efficient compression. As part of the Video Algorithms team during this 24-week Fall internship, you will help us investigate the potential of GS as a future streaming format and explore possible improvements, with a focus on building towards a practical system. During the internship, you will: Explore GS model compression strategies using open datasets Contribute to early thinking on additional dataset needs for representative scenes. Characterize trade-offs among GS model size, training time, and rendered quality, and quantify the gap relative to streaming-rate targets Identify and experiment with strategies to reduce training/encoding time and/or to improve GS compression efficiency Design and implement a proof-of-concept (PoC) that showcases GS-based rendering on content of interest Who Are You? Currently pursuing a PhD in

Forward Deployed Engineer San Francisco | OnSite tl;dr: Interface is looking for generalist founding engineers (ml, data, full-stack) who are scrappy, push boundaries and have a need to win. We need to work hard and build quick to win. We want people to challenge our ideas and build alternatives. LFG 🚀 who you are: - make two-way door decisions quickly - fix things before being told they're broken - be comfortable with our stack (tsx, py, docker, llms, yolo, tesseract, postgresql, aws, react native ...) - have built real things that people use - thrive in chaos 🧑‍💻 what you'll do: - speak to users/customers about their experience / problems / needs - architect systems used daily by thousands of folks at $B+ companies - build agent-swarm data pipelines that autonomously audit thousands of documents - maintain infrastructure that scales - ship fast - because perfectionism kills progress. 🗣️ real talk: - you'll work with the founding team and customers directly - the users' needs are more important than cool features and/or hype - the whole team works 6 days a week at our office - you'll be in SF: a lot of work, great weather and best tech ecosystem in the world 🌎 other stuff: - Apply from anywhere in the world. - Competitive pay, strong equity, and early team influence. - $3,000 referral bonus for successful hires. ---- Who is Interface? We are the autonomous safety expert for the industrial world. Here's what that actually means: we're building

AI Research Scientist - Algorithm Chennai,IND posted: Posted Today