TAHO, Inc. is a remote-first software company with employees across the US on a shared mission to unlock computing hardware performance. We develop and sell TAHO (Trusted Autonomous Hybrid Operation), a software mesh designed for deployment and runtime architectures. We are focused on building category-defining technology in software, helping organizations drive better performance, efficiency, and adaptability. As a fast-growing startup, we are looking for team members who thrive in high-impact roles and embrace challenges.

As of August 2025, we have captured SEED funding, and we are pursuing additional customer traction. Our target is to achieve one million dollars in annual contract values by year-end 2025 and a one billion dollar valuation in three years. We are a first mover and category creator with pragmatic near-term goals. Join us for a once-in-a-lifetime opportunity to unlock true computing efficiency for the entire world.

We are hiring a Staff Product Engineer to play a foundational role in building and scaling TAHO. This is a high-impact backend engineering position focused on core architecture, distributed system reliability, and high-performance computing. You will work on WebAssembly execution environments, decentralized runtime management, and low-latency communication—directly shaping how modern systems operate at scale. You should have experience building highly distributed, performance-critical backend systems with an emphasis on scalability, automation, and security. If you thrive in deep technical challenges and want to own and shape the backend architecture of a category-defining infrastructure product, this role is for you.

TAHO is a cutting-edge tech company that requires adaptability, a commitment to continuous learning, and innovative thinking to stay ahead in a rapidly evolving environment. Individuals must possess strong problem-solving skills and a customer-centric mindset, ensuring they can identify issues effectively while prioritizing customer needs. Collaboration and teamwork are crucial, as working well with others and contributing to a team-oriented culture drives success. While technical proficiency varies by role, a basic understanding of the company’s technology is beneficial, with deeper expertise essential for technical positions. Ultimately, thriving in such an environment hinges on the ability to adapt, learn, innovate, solve problems, and prioritize customers.

Responsibilities

Backend Architecture & Development

• Architect, design, and develop backend services for TAHO, using Rust, focusing on software deployment, runtime orchestration, and distributed execution.
• Develop high-performance WebAssembly (WASM) execution environments tailored for AI & HPC workloads.
• Optimize real-time workload scheduling, resource allocation, and automated failover mechanisms across systems.
• Build secure and efficient data exchange mechanisms between distributed nodes using zero-trust networking models.
• Implement automated rollback and real-time self-healing mechanisms to enhance runtime resilience.

Compute & Scalability

• Design and implement scalable models that allow seamless interactions across heterogeneous computing environments (cloud, edge, on-prem).
• Develop tools for dynamic code streaming and live patching of TAHO-deployed AI workloads.
• Work on low-latency messaging protocols (DDS, gRPC, Libp2p, or custom P2P models) for decentralized coordination.

Performance Optimization & Security

• Reduce cold start times and optimize high-density AI workload execution across multitenant architectures.
• Implement AI-driven runtime optimizations, reducing inference energy consumption and improving hardware efficiency.
• Lead security-first development practices, enforcing container isolation, cryptographic verification, and secure enclave execution.

Infrastructure & Deployment

• Design scalable CI/CD pipelines for software distribution across cloud and on-prem environments.
• Own and improve observability, monitoring, and automated diagnostics across TAHO instances.
• Work with cross-functional teams (AI researchers, product engineers, DevOps) to ensure seamless integrations.

Qualifications

• 7+ years of backend engineering experience in distributed systems, infrastructure, or multitenant architectures.
• Strong expertise in Rust, Go, or C++ with a focus on high-performance, memory-safe backend services.
• Experience with WebAssembly (WASM), distributed runtimes, or sandboxed execution environments.
• Deep understanding of microservices, container orchestration (Kubernetes), and decentralized computing.
• Hands-on experience with low-latency networking, real-time communication protocols, and high-throughput data pipelines.
• Experience working with AI/ML inference pipelines, HPC environments, or learning architectures is a plus.
• Strong knowledge of security, cryptographic protocols, and zero-trust architecture.

What to expect in the first 30 days:

• Deep dive into TAHO’s existing architecture, backend services, and runtime components.
• Identify key areas for optimization in workload scheduling, runtime resilience, and security.
• Set up benchmarking frameworks for performance, efficiency, and scalability analysis.
• Work alongside the CTO and product leadership to define near-term architectural priorities.

What to expect in the first 60 days:

• Implement first iterations of runtime optimizations, improving execution efficiency.
• Deploy high-performance messaging solutions, ensuring low-latency AI workload distribution.
• Introduce automated fault detection and self-healing mechanisms within the TAHO runtime.
• Align backend development with multi-cloud and edge deployment strategies.

What to expect in the first 90 days:

• Deliver scalable WASM execution models for AI inference workloads within TAHO.
• Implement seamless cross-node communication mechanisms for runtime coordination.
• Establish real-time performance monitoring, surfacing AI workload execution analytics.
• Finalize developer-facing APIs, enabling external teams to build on TAHO’s runtime.

What to expect in the first 6 months:

• Optimize AI workload execution, reducing compute costs and improving efficiency by 10x.
• Implement real-time streaming updates for distributed inference pipelines.
• Launch advanced observability dashboards, tracking resource utilization, execution efficiency, and security events.
• Scale TAHO’s deployment model, supporting cross-enterprise, multi-region AI workloads.

What to expect in the first year:

• Fully establish TAHO’s backend as a category-defining execution layer.
• Lead the development of open-source integrations and ecosystem expansion efforts.
• Achieve breakthrough reductions in compute resource consumption, aligning with TAHO’s sustainability goals.
• Drive cross-functional collaborations, working with AI/ML teams to enhance real-time AI optimization.

Perks:

• Freedom & flexibility; fit your work around your life.
• Home Office Setup: We want you to be comfortable while working.
• Training stipend for conferences, courses, and classes.
• Equity: We are a growing start-up, and we want all employees to have a stake in the company's success.
• Cutting-Edge Work: Shape the Future of AI and Infrastructure Software.
• TAHO Swag.
• Medical benefits and holidays.

Benefits:

• Dental insurance
• Employee stock ownership plan
• Health insurance
• Paid time off
• Vision insurance