Hello,

Greetings from ZettaMine!!!

Freelancing Prospect :- We are hiring a Pod Lead – Electrical Engineering & Computer Science (Terminal Bench Science) for a short-term Frontier AI Research, Scientific Computing &

Engineering Evaluation project across the following location: India

Role: Pod Lead – Electrical Engineering & Computer Science (Terminal Bench Science)

Educational Eligibility: PhD, postdoctoral experience, or equivalent advanced technical experience in Computer Science, Electrical Engineering, Computer Engineering, or a closely related discipline

Mode: Remote

Start: Immediate

Mandatory Eligibility Criteria

Technical Qualification:

- PhD, postdoctoral experience, or equivalent advanced technical expertise in Computer Science, Electrical Engineering, Computer Engineering, or a closely related field.
- Strong programming skills in C/C++, Rust, Python, Julia, Fortran, MATLAB/Octave, or Hardware Description Languages (HDL), with advanced Linux and terminal proficiency.
- Hands-on expertise in at least one major area: Parallel Computing | Systems Programming | Scientific Software Development | Circuit Simulation | Signal Processing | Power Systems | Digital Hardware Design.
- Strong understanding of algorithms, computational systems, numerical methods, software testing, or electrical engineering principles.
- Experience reviewing complex codebases, technical implementations, engineering simulations, or research outputs.
- Ability to evaluate algorithm correctness, computational performance, numerical accuracy, concurrency behavior,



and the reliability of technical results.
- Strong analytical skills to identify technical errors, edge cases, race conditions, and flawed engineering assumptions.
- Experience mentoring technical teams, reviewing deliverables, and maintaining quality standards.
- Excellent written communication skills for providing precise technical feedback and documenting engineering requirements.

Availability

- Minimum 40 hours per week.
- Availability to work at least 8 hours per day.
- Minimum 4 hours of overlap with PST business hours.

What You’ll Work On

- Lead and mentor a pod of approximately 5–10 technical trainers developing realistic, terminal-based scientific and engineering tasks for a frontier AI training and evaluation initiative.
- Review technical tasks end to end, including problem statements, codebases, circuit netlists, hardware description languages (HDL), datasets, computational environments, reference solutions, and automated tests.
- Validate tasks involving high-performance computing (HPC), parallel computing, algorithms, distributed systems, compilers, operating systems, databases, ML systems, GPU computing, circuit design, signal processing, power systems, and embedded systems.




- Ensure tasks reflect realistic software engineering, research, and electrical engineering workflows requiring meaningful multi-step technical reasoning.
- Verify technical correctness across algorithm complexity, numerical accuracy, memory management, concurrency, circuit laws, power balance, signal processing, timing constraints, and system stability.
- Validate compilers, simulation tools, software dependencies, computational environments, and build processes to ensure reproducible results.
- Identify unreliable tests caused by nondeterministic behavior, race conditions, hardware-dependent performance thresholds, or simulation convergence issues.
- Review automated graders to ensure they accurately evaluate technical outputs such as functional correctness, performance, frequency response, waveforms, timing, efficiency, and system behavior.
- Identify technical inaccuracies, flawed assumptions, incorrect tolerances, and opportunities to bypass computation, simulations, or automated evaluations.
- Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval.
- Onboard trainers, allocate work, monitor quality and productivity, and resolve technical blockers.
- Maintain technical documentation, quality standards, and best practices throughout task development.

Interested candidates: Please share your updated CV and LinkedIn profile at [email protected]

Thanks & Regards,

Sowmya P

ZettaMine

📌 Pod lead - Electrical Engineering & Computer Science (Terminal Bench Science) (India)
🏢 ZettaMine Labs
📍 India