Cleaner. Smarter.
A toolkit for high-throughput image dataset optimization through 2D image analysis and structural cleanup
Build the backbone of next-gen, data centric AI
ACTIVE RECRUITMENT POSITIONS:
Shape the Future of AI
Working at Data Wash is not just a job, it’s a mission: to make deep learning more trustworthy, efficient, and capable of addressing real-world challenges. Our team is establishing the critical infrastructure of the future.
Personal Growth & Purpose
Join a small, ambitious start-up. Gain exposure to cutting-edge technologies. Work is hard, hands-on, creative, and deeply meaningful. You're part of a small, driven team innovating fundamental, new technology, not just extending a product line.
Why Join Us
Shape the core architecture of breakthrough technology
Work directly with founders who value deep technical talent, autonomy and performance
Solve hard problems at the intersection of hardware, distributed systems and deep learning
Adventure with honour & recognition in case of success
Join Our Team - Open Positions:
Senior Network / Systems Engineer
High-Performance Hardware & Distributed Systems
San Antonio, TX
About Us
We’re a small, ambitious start-up ready to scale a fundamentally new, code-driven platform that empowers data scientists and computer vision engineers to process and clean massive image datasets faster and smarter than ever before. Our software is ready to evolve into a high-performance, distributed system, and we need a world-class engineer to lead that transformation.
This is a rare chance to define the core architecture of a transformative product—working directly with the founders to design, build, and scale infrastructure from the ground up. If you thrive on solving hard technical problems, building systems from scratch, and pushing hardware and networks to their limits, this role is for you.
The Role
As our Network / Systems Engineer, you will own the design and build of our initial hardware and networking environment for the MVP—and scale it into a distributed, high-performance architecture that can handle massive image datasets at production scale.
You will work hands-on across the full stack: from server configuration and FPGA/GPU acceleration to network design, cybersecurity, and cloud integration. This role is for engineers who love building entire systems, optimizing for speed, resilience, and scalability, and shaping a platform that will underpin the next generation of AI tooling.
What You’ll Do
Architect and deploy a high-performance, full-system hardware environment for our MVP (MVP build requires two servers).
Configure servers (hardware and software) for parallel and distributed processing using FPGA chips.
Develop and integrate FPGA builds, encoding for double-precision matrix multiplication and complex variable handling.
Set up, manage, and optimize Linux environments and open-source software stacks.
Optimize GPU execution, modifying algorithms for CUDA or equivalent frameworks.
Design and secure networks for local clusters and cloud integration.
Integrate internal systems with cloud infrastructure (AWS, GCP, Azure) for secure storage and overflow.
Build internal monitoring and operational tools for the hardware/network stack.
Plan for scale, evolving architecture to support increasing demand and high availability.
Implement advanced cybersecurity protocols across hardware and network layers.
What We’re Looking For
Proven experience building and scaling hardware-driven systems from prototype to production.
Deep expertise in network engineering, server configuration, and distributed system design.
Strong proficiency in Linux, network security, and open-source software stacks.
Expertise programming FPGAs (VHDL/Verilog) and optimizing numerical operations.
Expertise in GPU acceleration and algorithm adaptation for parallel execution.
Familiarity with cloud architectures and integration with on-premises systems.
Understanding of high-performance computing, parallel processing, and datacenter operations.
A builder’s mindset: autonomous, creative, hands-on, and motivated to solve complex engineering challenges.
We Expect You To Have
Strong knowledge of modern server architecture, especially in high-performance based environments.
Expertise in developing and implementing FPGA builds.
Proficient in Linux systems, with expertise in Python and Bash scripting for automation.
Demonstrated ability to troubleshoot complex system issues, including hardware, software, and networking problems.
Experience with deep problem investigation, root cause analysis, and resolving performance issues in cloud-based or high-performance computing environments.
Strong analytical and problem-solving skills, with a focus on optimizing system performance.
Why Join Us
Build the technical foundation of a breakthrough platform from scratch.
Work directly with founders who value deep technical talent, autonomy and performance.
Shape the product and tech roadmap at the earliest stage.
Opportunity to innovate at the intersection of hardware, distributed systems, data science and deep learning.
Join a team where technical brilliance and bold thinking are celebrated and empowered.
Join the adventure of a small, ambitious start-up building something truly new.
Full Stack Software Developer
San Antonio, TX
About Us
We’re a small, ambitious start-up ready to scale a fundamentally new, code-driven platform that empowers data scientists to process and clean massive image datasets faster and smarter than ever before. Our prototype is ready to evolve into a high-performance, distributed system, and we need a world-class engineer to lead that transformation.
This is a rare chance to architect and ship a transformative product—working directly with the founders to design and build the software backbone and full feature set of a high-performance new data platform. If you thrive on ownership, solving deep engineering problems and building production-grade systems from scratch, this role is for you.
The Role
As our Full Stack Software Developer, you will lead the design and development of the software layer that powers our high-performance hardware and distributed processing engine. You’ll build the front-end interface our customers (data scientists and machine learning engineers) use, the backend services that orchestrate processing pipelines, and the connective tissue that binds hardware acceleration, parallelization, and cloud systems together.
This role spans UX, backend architecture, systems engineering, and performance optimization. You will write the software that transforms our raw prototype into a robust, scalable, user-ready platform capable of scale. You’ll shape a platform that will underpin the next generation of AI tooling.
What You’ll Do
Design and build the core full-stack application for the MVP and transition it to a production-scale distributed system.
Build backend services that interface with high-performance hardware (servers, GPUs, FPGAs) for parallel data processing.
Develop a fast, intuitive UI for data scientists to upload data, choose defined workflows (“product features”), monitor jobs, and receive output reports.
Architect a service layer that can scale to handle extremely large image datasets and high-throughput parallel jobs.
Build real-time monitoring tools and dashboards for system performance, job execution, and hardware utilization.
Implement robust data ingestion, preprocessing, and task-orchestration workflows.
Integrate the on-prem high-performance system with secure cloud storage and cloud-based compute overflow.
Develop internal tools for automation, debugging, and system health analytics.
Ensure platform reliability, security, and performance under heavy workloads.
Work collaboratively with hardware, network, and distributed systems engineers to unify hardware and software design.
What We’re Looking For
Proven experience building full-stack applications from prototype to production.
Deep expertise in backend development for high-performance, data-intensive systems.
Strong experience with frontend frameworks (React, Vue, Svelte, etc.) and designing clean, intuitive interfaces.
Fluency in Python and strongly typed backend languages (Go, Rust, Java, TypeScript/Node, etc.).
Experience building distributed systems, task orchestration engines, or high-volume processing pipelines.
Familiarity with FPGA, GPU or parallelized compute workflows is a strong plus.
Experience designing and optimizing APIs that interact with hardware accelerators or HPC systems.
Strong knowledge of database design (SQL and NoSQL) for high-throughput environments.
Understanding of networking, cloud architectures, and security best practices.
Autonomous, creative, and driven—someone who loves building complex systems end-to-end.
We Expect You To Have
Strong command of modern backend architecture patterns: event-driven, microservices, distributed task queues, etc.
Experience optimizing systems for performance, memory, and parallel throughput.
Proficiency in Linux and scripting for automation and debugging.
Ability to diagnose and resolve complex software or systems issues.
Strong problem-solving abilities, with a builder’s mindset and a focus on quality, speed, and resiliency.
Why Join Us
Build the software foundation of a breakthrough platform from scratch.
Work directly with founders who value deep engineering talent, autonomy and performance.
Shape the product and tech roadmap at the earliest stage.
Innovate at the frontier of distributed systems, high-performance computing, data science and AI tooling.
Join a team where technical brilliance and bold thinking are celebrated and empowered.
Join the adventure of a small, ambitious start-up building something truly new.
Contact Us About A Position:
The provided information does not constitute an offer or invitation to make offers or invitation to buy, sell or otherwise use any services, products and/or resources referred to on this website, and may be changed at any time. Contact us for more information.
Data Wash is transforming how image data is prepared and processed for deep learning models. We make massive image datasets move fast. And help data engineers & scientists be the project hero.
Don't be left in the dirt! Turn your bottleneck into a competitive advantage.
ABOUT DATA WASH
We're on a mission to elevate data scientists & engineers, to help them spend more time innovating & creating and less time cleaning.
We make image dataset preparation and cleaning fast, predictable and scalable, so teams can accelerate their ML breakthroughs.
Join us for a data centric approach to building smarter AI models.
Built by scientists, for scientists.
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