Pod Lead - Electrical Engineering & Computer Science (Contract)

Carnation Infotech Pvt Ltd.

United States

Remote

USD 150,000 - 210,000

Full time

2 days ago
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Job summary

Carnation Infotech Pvt Ltd. is seeking a highly qualified researcher or engineer with deep expertise in high-performance computing, software development, and hardware-aware programming. The role demands PhD-level credentials and hands-on experience across C/C++, Python, Linux, and related tools.

The candidate will contribute to advanced simulations, algorithmic development, and evaluation of technical outputs, collaborating with cross-disciplinary teams in a fast-paced environment.

Qualifications

  • PhD or equivalent advanced technical experience in CS/EE/CE or related field.
  • Proficient in C/C++, Python, and Linux with terminal expertise.
  • Hands-on in HPC, systems programming, or similar domains.
  • Strong grasp of algorithms, numerical methods, and software testing.
  • Experience reviewing complex codebases and mentoring teams.
  • Ability to evaluate algorithm correctness and performance.
  • Excellent written technical communication.

Skills

PhD/postdoc experience
C/C++
Rust
Python
Julia
Fortran
MATLAB/Octave
HDL
Linux/terminal
Parallel computing
Systems programming
Scientific software development
Circuit simulation
Signal processing
Power systems
Digital hardware design
Algorithms
Numerical methods
Software testing
Electrical engineering principles
Code review
Mentoring/leadership
Technical writing

Education

Ph.D./equivalent

Tools

Docker
Git
CI/CD
pytest

Job description

Skills Required:

  • Ph.D., postdoctoral experience, or equivalent advanced technical experience in Computer Science, Electrical Engineering, Computer Engineering, or a closely related discipline.
  • 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, or digital hardware design.

What we're looking for:

  • Ph.D., postdoctoral experience, or equivalent advanced technical experience in Computer Science, Electrical Engineering, Computer Engineering, or a closely related discipline.
  • 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, or 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 reliability of technical results.
  • Strong analytical judgment with the ability to identify technical errors, edge cases, race conditions, and flawed engineering assumptions.
  • Experience mentoring, reviewing, or leading small technical teams.
  • Excellent written communication skills for providing precise technical feedback and documenting quality standards.

Nice to have:

  • Experience with HPC and systems development tools such as MPI, OpenMP, CUDA, LLVM/GCC, CMake, gdb, Valgrind, perf, sanitizers, or Slurm.
  • Familiarity with electrical engineering and hardware simulation tools such as ngspice, Xyce, Icarus Verilog, Verilator, GHDL, Yosys, pandapower, PyPSA, MATPOWER, openEMS, GNU Radio, or QEMU.
  • Familiarity with Docker, Git, CI/CD pipelines, and automated testing frameworks such as pytest.
  • Experience developing technical benchmarks, programming challenges, simulation-based evaluations, or automated grading systems.
  • Experience developing or evaluating AI coding agents, terminal-based agents, or LLM-generated technical solutions.
  • Open-source development or maintainer experience, particularly reviewing and validating external contributions.
  • Industry experience in semiconductors, high-performance computing, power utilities, telecommunications, or embedded systems.
  • Prior experience in AI training, technical quality control, benchmark development, or evaluation programs.

Offer Details:

  • Commitments Required: At least 4 hours per day and minimum 40 hours per week with overlap of 4 hours with PST.
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