Software Engineer, Infrastructure & Data

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

Do you have experience in Tooling?, * 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

• 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
• High ownership role - you design, build, and operate systems that matter
• Direct collaboration with ML and robotics teams on infrastructure that shapes model quality
• Ground-floor opportunity to define how Mecka’s infrastructure scales

Compensation Range: $170K - $200K