Job Description

Join a leading AI research organization as an expert software engineer, where you will leverage your deep, hands-on experience in specialized programming languages such as Scala, COBOL, ABAP, Verilog, Fortran, or Slang. This role offers the opportunity to contribute to a high-impact technical evaluation initiative, directly influencing the performance of cutting-edge AI systems in complex, real-world scenarios. Key Responsibilities

• Apply your language expertise to evaluate complex technical tasks and scenarios against real-world professional standards.
• Review intricate code-level situations and provide precise, structured written assessments.
• Assess technical outputs with the perspective of a senior practitioner, focusing on correctness, idiomatic usage, and ecosystem-specific conventions.
• Provide clear written rationales that explain your expert judgments.
• Complete well-defined, time-bounded tasks with clear evaluation criteria.

We are looking for engineers with genuine professional or research depth in one or more of the following languages and ecosystems:

• Scala: Functional/OOP JVM development; distributed systems; Apache Spark, Akka, Cats, or ZIO; financial services or data engineering contexts.
• COBOL: IBM mainframe (z/OS) production development; JCL, CICS, VSAM, DB2; banking, insurance, or federal government systems.
• ABAP: SAP development in R/3 or S/4HANA; Workbench tools (SE38, SE80, SE11); BAPIs, BADIs, Enhancement Spots; enterprise ERP environments.
• Verilog / SystemVerilog: RTL design for FPGA or ASIC; testbench development; EDA toolchains (Vivado, Quartus, Synopsys, Cadence); hardware, telecom, or defense.
• Fortran: Modern Fortran (90/95/2003+); MPI or OpenMP parallelization; HPC cluster work; scientific computing, climate modeling, CFD, or computational physics.
• Slang: GPU shader and graphics programming; real-time rendering pipelines; DirectX, Vulkan, or CUDA-based workflows; NVIDIA Falcor or similar frameworks; graphics research or game engine development.

The ideal candidate has 5+ years of professional or research experience in their primary language, has applied it in a real production, enterprise, or research context, can articulate not just what code does but why certain patterns are correct or idiomatic in their ecosystem, and communicates technical reasoning clearly in writing.

We particularly welcome COBOL and ABAP practitioners from banking, insurance, or enterprise ERP backgrounds; Verilog and Fortran engineers from academic institutions, national labs, or defense/aerospace contexts; Slang engineers from graphics research, game engine, or real-time rendering backgrounds; and engineers with non-traditional digital footprints — a GitHub profile is not required.

The programming languages Scala, COBOL, ABAP, Verilog, Fortran, and Slang underpin critical infrastructure in global banking, enterprise ERP, semiconductor design, scientific computing, and GPU graphics. Your expertise is rare and your assessments will directly influence how AI systems are developed to operate in domains that most researchers have limited exposure to, making this meaningful, high-impact work with lasting reach.

• Compensation: $120–$200/hour, based on language, domain, and experience level.
• No proprietary tooling required — tasks are designed to be completable without employer-provided systems (no SAP license, no mainframe access needed).

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