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Remote Process Engineering Manager Jobs in Philadelphia, PA

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Hiring Process * Submit an application and screening questions. * Complete an AI interview (~30 ...

Remote (East Coast candidates preferred) Start Date: ASAP Duration: 6-12 Month Contract ... Partner with engineering managers and tech leads to shape, document, and refine technical ...

Back-End Engineer

Philadelphia, PA · Remote

$75K - $125K/yr

All full time and part time employees have access to participate in the Delphinus Engineering ... Manage and optimize relational databases (PostgreSQL, TimescaleDB), including schema design, query ...

Recommend improvements based on real-world engineering practices and industry standards ... Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure ...

Sales Manager Remote

Philadelphia, PA · Remote

$80K - $120K/yr

Establish and enforce sales processes, performance standards, and CRM best practices to ensure ... What we offer: * 100% remote work with a flexible schedule. * Competitive compensation structure ...

Understanding of remote communication software * Ability to quickly come up to speed on in-process ... processes under professional engineering supervision * Advanced project management and risk ...

Understanding of remote communication software * Ability to quickly come up to speed on in-process ... processes under professional engineering supervision * Advanced project management and risk ...

Showing results 41-60

Remote Process Engineering Manager information

See Philadelphia, PA salary details

$21.2K

$123.6K

$192.2K

How much do remote process engineering manager jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote process engineering manager in Philadelphia, PA is $123,577.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $146,300.00 per year, depending on experience, location, and employer.

What are popular job titles related to Remote Process Engineering Manager jobs in Philadelphia, PA?

For Remote Process Engineering Manager jobs in Philadelphia, PA, the most frequently searched job titles are:

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Infographic showing various Remote Process Engineering Manager job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $123,577 per year, or $59.4 per hour.

CUDA Software Engineer - Remote

YO AI Labs

Philadelphia, PA • Remote

$60 - $100/hr

Full-time

Posted 13 days ago


Job description

CUDA Engineering Expert

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels.

No prior AI experience is required.

Key Responsibilities
  • Analyze, profile, and optimize GPU kernels using CUDA and profiling tools.

  • Identify performance bottlenecks and develop targeted optimization strategies.

  • Refactor C++ and CUDA code for efficiency and maintainability.

  • Develop shader logic using GLSL and WebGPU.

  • Document optimization processes, findings, and performance improvements.

  • Contribute to GPU architecture and performance discussions.

  • Collaborate with remote, cross-functional teams.

Required Qualifications
  • Strong expertise in CUDA programming and GPU kernel optimization.

  • Advanced C++ development skills.

  • Hands-on experience with GLSL and WebGPU.

  • Experience using GPU profiling tools such as NVIDIA Nsight or similar.

  • Strong understanding of GPU performance and architecture.

  • Excellent analytical, problem-solving, and technical communication skills.

  • Ability to work effectively in a remote environment.

Preferred Qualifications
  • Experience with high-performance computing or GPU-accelerated applications.

  • Experience optimizing workloads across different GPU architectures.

  • Background in graphics, compute shaders, or AI/ML acceleration.