Application Engineer – Measurement Data Processing, Dart/C/Rust

🕒 July 1

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Synmatch AI

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2025

👥 HR Tech

🤖 Artificial Intelligence

🎯 Recruiter

HR Tech • Artificial Intelligence • Recruitment

Synmatch AI is a pioneering company that redefines the hiring process by leveraging advanced artificial intelligence to facilitate global talent acquisition. The company aims to bridge the gap between skilled professionals and employers by streamlining the recruitment process, making it more efficient, fair, and accessible. With a curated database of pre-vetted candidates, Synmatch AI reduces biases and helps companies achieve faster hiring cycles, higher-quality matches, and diverse teams. The platform embodies a remote-first approach, reflecting its mission to unlock growth for organizations of all sizes and create equitable opportunities for talent around the world.

📋 Description

• Design On-Device Storage & Ingest Layer : Define and evolve storage (columnar layouts, compression schemes, downsampling pyramids, time-bucket indexes) and ingest layer (streaming, iterator-based parsing of large volumes in Dart with zero full-file slurps FFI to native code where it pays off) • Implement Calculation Kernels : Build processing for event detection (sags, swells, transients), analytical calculations, and standards-compliant aggregations (e.g., IEC 61000-4-x) choosing the right numerics for stability under long aggregation intervals • Plan Schema Evolution & Cloud Sync : Forward- and backward-compatible migrations so customer files from year one still open in year five partial sync, vector clocks, conflict surfaces in close collaboration with Lead Architect • Operate What You Ship : Share on-call rotation for data-plane incidents, lead postmortems on ingest or query regressions, and turn each into permanent test or performance benchmark • Validate Against Reference Vectors : Establish golden test vectors with PQ analyst, prototype in Python/NumPy, and prove production Dart/Rust kernels agree to required precision

🎯 Requirements

• Time-Series Data Structures : Strong CS fundamentals columnar layouts, compression, downsampling, time-bucket indexing. • Streaming Ingest with Memory Discipline : Experience parsing large binary or text files in chunks without loading into memory. Comfortable with mmap, paged readers, and isolate-based pipelines • Applied Math Implementation : Strong in at least one of Dart, C, C++, or Rust; comfortable wiring kernels across FFI boundaries for complex numbers, Fourier analysis, Hilbert transforms, etc. • Data Integrity as a Value : You consider silently losing a sample a critical bug, full stop • Domain Humility : Willing to learn the physics before optimizing the bytes; comfortable working closely with a PQ analyst • Benchmark-First Instincts : You measure before you tune, and write the harness yourself • Desirable (but not required): Experience with large data volumes using Apache Arrow, Parquet, or FlatBuffers especially with Dart FFI bindings • Prior exposure to measurement, instrumentation, scientific software, or power-quality standards • Python/NumPy/SciPy fluency for prototyping and reference computation • MSc in Electrical Engineering, applied mathematics, or related field

🏖️ Benefits

• Founding Influence : Contribute to the technical direction of a product defining a category for the next decade • Specialist Team : Work alongside a dedicated power-quality analyst, visualization engineer, and hardware product teams • Real Engineering Culture : ADRs, performance budgets, and reference test vectors are first-class artifacts • Made-in-Germany Quality : Decades of measurement-instrument heritage with a customer base that notices when the numbers are right