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Freelance Windows Kernel Developer Jobs in Linden, NJ

... windows, RAG, embeddings, and model limitations. * 3+ years of experience experience with OpenAI ... Semantic Kernel, Copilot Studio, or similar platforms. * 3+ years of experience debugging LLM ...

Prompt Engineer

Jersey City, NJ · On-site

$104K - $182K/yr

... windows, RAG, embeddings, and model limitations. * 3+ years of experience experience with OpenAI ... Semantic Kernel, Copilot Studio, or similar platforms. * 3+ years of experience debugging LLM ...

Prompt Engineer

Jersey City, NJ · On-site

$104K - $182K/yr

... windows, RAG, embeddings, and model limitations. * 3+ years of experience experience with OpenAI ... Semantic Kernel, Copilot Studio, or similar platforms. * 3+ years of experience debugging LLM ...

Senior Software Engineer

New York, NY · On-site +1

$134K - $176K/yr

Experience with kernel software development in Windows, Linux, or Mac * Strong software engineering skills using the C-family languages * Experience with Compiling and debugging software on Linux and ...

Senior Software Engineer

New York, NY · On-site +1

$134K - $176K/yr

Experience with kernel software development in Windows, Linux, or Mac * Strong software engineering skills using the C-family languages * Experience with Compiling and debugging software on Linux and ...

Strong understanding of LLM behavior, prompt design, tokenization, context windows, RAG, embeddings ... Kernel, Copilot Studio, or similar platforms. * Ability to debug LLM outputs using structured ...

... Windows environments · Assist with SAP infrastructure operations across AWS, Microsoft Azure, and ... copy, kernel upgrades, transport activities, and other BASIS-related tasks · Assist with ...

Showing results 21-38

Freelance Windows Kernel Developer information

See Linden, NJ salary details

$9

$23

$71

How much do freelance windows kernel developer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for freelance windows kernel developer in Linden, NJ is $23.73, according to ZipRecruiter salary data. Most workers in this role earn between $19.38 and $19.38 per hour, depending on experience, location, and employer.

What is a freelance Windows kernel developer?

A Freelance Windows Kernel Developer is an independent software engineer who specializes in developing, debugging, and maintaining software that operates at the Windows operating system kernel level. These professionals design drivers, system utilities, or security modules that require deep integration with Windows internals. Working as freelancers, they typically handle short-term contracts or projects for various clients, providing expertise in areas like kernel-mode driver development, kernel debugging, and performance optimization. Their work is crucial for hardware compatibility, system stability, and advanced software functionalities.

What are the key skills and qualifications needed to thrive as a freelance Windows kernel developer?

A Freelance Windows Kernel Developer must possess deep knowledge of C/C++ programming, operating system internals, and Windows kernel architecture, often supported by a degree in computer science or related experience. Familiarity with tools like WinDbg, Visual Studio, and experience with kernel debugging, driver development, and Windows Driver Kit (WDK) are essential. Strong problem-solving skills, attention to detail, and effective independent communication set standout freelancers apart. These capabilities ensure the developer can deliver secure, high-performance kernel modules and troubleshoot complex system-level issues for clients.

What are some common challenges faced by freelance Windows kernel developers when working with clients remotely?

Freelance Windows Kernel Developers often encounter challenges such as obtaining sufficient access to client environments for debugging, ensuring confidentiality when handling sensitive code, and aligning with the client’s internal development workflows. Effective communication is crucial, as kernel development frequently involves troubleshooting low-level issues that may require detailed logs or real-time collaboration with other developers. Setting clear expectations around deliverables, timelines, and security protocols helps address these challenges and fosters a productive remote working relationship.

What cities near Linden, NJ are hiring for Freelance Windows Kernel Developer jobs?

Cities near Linden, NJ with the most Freelance Windows Kernel Developer job openings:

Infographic showing various Freelance Windows Kernel Developer job openings in Linden, NJ as of June 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $49,359 per year, or $23.7 per hour.

Senior AI Research Engineer

Cantor Fitzgerald Securities

Manhattan, NY • On-site

$114K - $157K/yr

Full-time

Re-posted 17 days ago


Job description


FMX is seeking a Senior AI Research Engineer to help design, build, and scale Skynapse, FMX's agentic AI framework for rates and derivatives exchange workflows.
Skynapse uses a central orchestrator to understand requests, decompose work, route tasks to specialized Subject Matter Expertise agents, invoke tools, retrieve enterprise data, apply FMX domain knowledge, and synthesize responses, reports, workflow outputs, or system actions.
The role combines production engineering, applied LLM research, agentic workflow design, enterprise integration, and future work with open-weight models that may require evaluation, adaptation, fine-tuning, governed deployment, and inference optimization.
Responsibilities
  • Design, build, evaluate, and maintain production-grade AI applications for FMX's rates and derivatives exchange business.
  • Develop the Skynapse orchestration layer, including task decomposition, agent routing, tool coordination, context management, response synthesis, and execution monitoring.
  • Apply model-level LLM knowledge to improve reasoning quality, retrieval quality, agent reliability, latency, cost, safety, and user experience.
  • Evaluate when to use commercial LLM APIs, open-weight models, fine-tuned models, embedding models, rerankers, smaller specialized models, or deterministic software.
  • Build agentic workflows using retrieval-augmented generation, semantic search, structured outputs, function/tool calling, planning, workflow orchestration, and human review.
  • Integrate agents with FMX enterprise data sources, internal APIs, market data systems, reference data, documents, search indexes, and code repositories.
  • Design guardrails for permissions, audit logging, approval workflows, escalation paths, fallback behavior, tool-use limits, source attribution, and production kill switches.
  • Create benchmark datasets, regression tests, red-team scenarios, human review workflows, and production monitoring for LLM and agentic systems.
  • Mentor FMX engineers in LLM architecture, model behavior, agent design, evaluation, retrieval, tool integration, and production AI engineering.

Qualifications
  • Bachelor's degree in computer science, machine learning, AI, mathematics, engineering, statistics, computational linguistics, or a related technical field.
  • 5+ years of professional software engineering experience, including production system design, deployment, and support.
  • 3+ years of hands-on experience with LLMs, deep learning, NLP, or advanced AI systems.
  • Strong academic or research background in machine learning, deep learning, NLP, transformers, LLMs, generative AI, model evaluation, or related areas.
  • Demonstrated understanding of transformers, attention mechanisms, tokenization, embeddings, pretraining, instruction tuning, fine-tuning, alignment, inference, context windows, decoding strategies, and evaluation.
  • Experience building LLM applications beyond basic prompting, including RAG, structured outputs, function/tool calling, agent orchestration, evaluation, and production monitoring.
  • Strong Python skills and experience writing clean, tested, maintainable, production-quality code.
  • Experience evaluating, adapting, fine-tuning, or deploying open-source or open-weight language models.
  • Practical understanding of LLM and agent failure modes, including hallucination, prompt injection, retrieval errors, tool misuse, reasoning errors, data leakage, unsafe automation, and non-deterministic behavior.
  • Strong understanding of enterprise security, privacy, access control, entitlementing, auditability, and responsible AI considerations.
  • Ability to communicate complex AI concepts clearly and drive projects from concept through production deployment.
  • Strongly Preferred Qualifications
  • Master's degree or PhD in computer science, machine learning, AI, NLP, statistics, mathematics, engineering, or a related field.
  • Research experience or publications in LLMs, transformers, NLP, deep learning, retrieval, alignment, inference optimization, model evaluation, or agentic AI systems.
  • Hands-on experience with supervised fine-tuning, instruction tuning, LoRA, QLoRA, parameter-efficient fine-tuning, preference optimization, distillation, quantization, or domain adaptation.
  • Experience with model serving and inference optimization tools such as vLLM, TensorRT-LLM, Hugging Face TGI, ONNX, batching, caching, GPU utilization, and latency/cost optimization.
  • Experience selecting and evaluating open-weight models for enterprise use, including trade-offs across model size, latency, quality, context length, licensing, hosting, security, cost, and governance.
  • Experience applying AI in financial markets, exchanges, trading platforms, rates, derivatives, market data, risk, surveillance, clearing, or client onboarding.
  • Hands-on experience with LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or similar orchestration tools.
  • Experience with vector databases, hybrid search, semantic retrieval, reranking, OpenSearch, Elasticsearch, pgvector, FAISS, Pinecone, Weaviate, or Milvus.
  • Experience with kdb+/q, time-series databases, order book data, trade data, mark-outs, liquidity analytics, or trading behavior analysis.
  • Experience with AI observability, LLMOps, model monitoring, prompt/version management, evaluation dashboards, governance, and enterprise controls.
  • Experience with C++ or other systems programming languages is a plus, especially in exchange, trading, market data, or high-performance systems environments.

Compensation Expectations: $400,000 - $500,000 Total
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