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Pod lead - Electrical Engineering & Computer Science; Terminal Bench S
Job in
San Antonio, Bexar County, Texas, 78201, USA
Listed on 2026-11-05
Listing for:
Zettamine Labs
Full Time, Part Time
position Listed on 2026-11-05
Job specializations:
-
Software Development
Computer Science, Software Engineer
Job Description & How to Apply Below
Hello,
Greetings from Zetta Mine!!!
Freelancing Opportunity :
- 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
Employment Type: Part-time
Availability
- Minimum 40 hours per week
. - Availability to work at least 8 hours per day
. - Minimum 4 hours of overlap with PST business hours
.
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.
What Youll Work On
- Lead and mentor a pod of approximately 510 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.
Thanks & Regards,
Sowmya P
Zetta Mine
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