Software Engineer, Infrastructure & Data

The Role

We're hiring a Software Engineer, Infrastructure & Data to design and build the backend systems and data pipelines that power Mecka's platform.

This is a high-performance systems role focused on end-to-end data pipelines, distributed compute, and the tooling that enables continuous model evaluation at scale. You'll work across the stack of infrastructure — from storage and transport to compute orchestration and inference — building systems that are fast, reliable, and built to handle serious throughput.

This role is ideal for someone who obsesses over performance, understands distributed systems deeply, and wants to work on infrastructure that directly enables cutting-edge robotics and AI research.

Responsibilities

Data Pipeline Engineering

• Design and optimize end-to-end data pipelines for large-scale data ingestion, transformation, and delivery

• Build for high throughput and low latency across the full data path — from capture to storage to consumption

• Own reliability and observability across pipeline infrastructure

Distributed Compute

• Architect and operate distributed compute systems for large-scale data processing workloads

• Implement and maintain orchestration using tools like Temporal, Kafka, and similar systems

• Build fault-tolerant, scalable pipelines that handle real-world operational load

AI Inference & Model Evaluation

• Build continuous and large-scale model evaluation tooling for robotics, computer vision, and machine learning teams

• Optimize systems for AI inference — latency, throughput, and resource efficiency

• Work closely with ML and robotics teams to understand evaluation requirements and build the infrastructure to support them

Performance Optimization

• Optimize systems at every level — compute, memory, I/O, and network

• Contribute to CUDA kernel development and GPU-accelerated workloads where needed

• Identify and eliminate bottlenecks across the data and compute stack

Who You Are

Required Experience

• 4+ years of backend or infrastructure engineering experience

• Proficiency in one or more of: Rust, TypeScript, or Go — with a track record of building high-performance systems

• Experience designing and operating distributed compute and data pipeline systems

• Hands-on experience with orchestration tooling (Temporal, Kafka, or equivalent)

• Strong systems thinking — you reason about performance, reliability, and scale from first principles

Strong Signals

• Experience with CUDA kernels or GPU-accelerated compute

• Understanding of AI inference optimization — model serving, quantization, batching, hardware utilization

• Experience building model evaluation pipelines for computer vision, robotics, or ML teams

• Familiarity with video codecs, compression pipelines, or object storage optimization

• Experience in research-adjacent or AI infrastructure environments

You Are

• A systems thinker who cares deeply about performance and correctness

• Comfortable owning infrastructure end-to-end — from design to production

• Rigorous about observability, reliability, and operational excellence

• Energized by working at the boundary of infrastructure and cutting-edge AI

• Able to collaborate effectively with ML, robotics, and data teams who depend on your systems

Why This Role

• Build the data and compute infrastructure that powers state-of-the-art robotics and AI systems

• Work on genuinely hard infrastructure problems at the intersection of scale, speed, and AI