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Perception Algorithm Engineer Jobs in Concord, NC

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Perception Algorithm Engineer information

See Concord, NC salary details

$55.4K

$104K

$189.1K

How much do perception algorithm engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for perception algorithm engineer in Concord, NC is $103,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $123,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Perception Algorithm Engineer, and why are they important?

To thrive as a Perception Algorithm Engineer, you need a strong background in computer vision, machine learning, and programming (typically C++ or Python), often supported by a degree in computer science, robotics, or a related field. Familiarity with tools like TensorFlow, PyTorch, OpenCV, and ROS, as well as experience with sensor data (e.g., LiDAR, cameras), is crucial. Strong analytical thinking, problem-solving abilities, and effective teamwork are standout soft skills for this role. These skills are vital to develop robust perception systems that enable autonomous vehicles and robots to interpret and interact safely with complex real-world environments.

What is a Perception Algorithm Engineer?

A Perception Algorithm Engineer is a professional who develops algorithms that enable machines—such as autonomous vehicles or robots—to interpret and understand sensory data from their environment. This typically involves processing data from cameras, lidar, radar, and other sensors to identify objects, track movement, and understand surroundings. Perception Algorithm Engineers work with computer vision, sensor fusion, and machine learning techniques to create reliable and efficient perception systems. Their work is crucial in making machines aware of their surroundings and enabling them to respond appropriately. They often collaborate with hardware, software, and robotics teams to integrate their algorithms into real-world applications.

What are some common challenges faced by Perception Algorithm Engineers when integrating their solutions into autonomous systems?

Perception Algorithm Engineers often encounter challenges when ensuring their algorithms perform reliably in diverse real-world environments, such as varying lighting, weather conditions, and sensor noise. Integrating algorithms with hardware requires close collaboration with robotics and systems engineering teams to optimize performance and latency. Additionally, balancing accuracy with computational efficiency is crucial, as perception modules must run in real time on embedded systems. Addressing these challenges involves rigorous testing, continuous model improvement, and effective cross-functional communication.
What cities near Concord, NC are hiring for Perception Algorithm Engineer jobs? Cities near Concord, NC with the most Perception Algorithm Engineer job openings:
Perception Algorithm Engineer jobs near you
Infographic showing various Perception Algorithm Engineer job openings in Concord, NC as of June 2026, with employment types broken down into 3% Locum Tenens, 59% Full Time, 28% Part Time, 7% Contract, and 3% Nights. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $103,971 per year, or $50 per hour.
Agentic AI Engineer

Agentic AI Engineer

Hoffman & Hoffman Inc

Charlotte, NC • On-site

Full-time

Posted 23 days ago

Job description

Agentic AI Engineer


What you'll be doing

You'll design, build, and implement autonomous AI agents that reason, plan, and take action across our business — agents that turn messy real-world goals into executable steps, plug into our systems, and deliver an industry-leading experience for our employee-owners and our customers.

Day to day, you will:

  • Architect agentic systems from the ground up — perception, planning, memory, and tool-use components that complete multi-step workflows autonomously across APIs, internal services, and enterprise applications.
  • Turn LLM capability into business leverage by integrating frameworks like LangChain, Semantic Kernel, AutoGen, CrewAI, and LangGraph with our data hub and operational systems.
  • Make agents trustworthy in production — build the monitoring, observability, evaluation pipelines, logging, and safety controls that let us deploy with confidence instead of crossed fingers.
  • Sit at the table with leadership, sales, and operations, translate what they actually need into agentic workflows, and prove impact with KPIs that move the business — not vanity metrics.
  • Run experiments, gather feedback, and iterate fast to keep pushing agent performance forward.
  • Document the craft — architectures, design decisions, limits, and lessons — so the whole company compounds on what you build.


Who you'll be doing it with

This is a team sport, and we play it with people we genuinely like working with.

You'll be part of a small, tight-knit crew of working directly with HVAC and construction industry experts, and business leaders who are passionate about our customers, teammates and business. The kind of team that whiteboards together, creates together, celebrates wins together, and gives each other real feedback without ego. We share ideas openly, pressure-test each other's thinking, and cover for each other.

Our leadership is hands-on and accessible — not a layer of management you escalate to, but teammates you build with. Sales and operations aren't on the other side of a wall; they're in the room helping you figure out what to build and then using what you ship. Because everyone here is an employee-owner, we all work for each other.

If you do your best work around smart, curious, low-drama people who care as much about the mission as the code, you'll fit right in.


What you bring

  • A strong software engineering foundation with real production chops in Python and backend or data systems.
  • Hands-on generative AI / agentic AI experience, including at least 1 year building with LLM-based agents, tool use, or multi-agent systems.
  • Working fluency with one or more agentic/LLM stacks (LangChain, Semantic Kernel, AutoGen, CrewAI, LangGraph) and a major cloud AI platform (Azure OpenAI, Google Cloud, AWS, or equivalent).
  • Solid grasp of prompt engineering, RAG, and context/memory management for LLM applications.
  • Experience integrating AI with REST/GraphQL APIs, databases, message buses, and event-driven or microservices architectures.
  • Familiarity with MLOps/AIOps — CI/CD, monitoring, cost controls, and lifecycle management for AI workloads.

Bonus points

  • You've designed or operated autonomous agents in complex domains (operations, customer support, finance, healthcare, marketing automation, etc.).
  • Background in applied ML, reinforcement learning, or planning/decision-making algorithms.
  • Real-world knowledge of AI safety, governance, and compliance — data privacy, access control, human-in-the-loop workflows.


Why this role is different

  • You're an owner from day one. We're 100% employee-owned — the tools you build create value you directly share in.
  • Entrepreneurial, not corporate. Fewer meetings, faster decisions, shorter distance between idea and production.
  • Real problems, real users. Your agents will be used by your own colleagues and our customers — you'll see the impact, hear the feedback, and produce the fix the same week.
  • Industry-leading ambition. We're not chasing AI trends. We're building the tools our industry will wish it had — alongside teammates who are as fired up about it as you are.


"As an Agentic AI Engineer here, you'll own the end-to-end lifecycle of AI agents that turn high-level goals into concrete action — connecting LLMs with our data, tools, and products to deliver measurable impact for the people who own this company and the customers who count on us."

This job description is intended to provide information regarding the essential functions and basic duties of this position. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and duties that could be assigned. Additional functions and requirements may be assigned by management as it deems appropriate. This document does not constitute a contract and is subject to change at the discretion of Hoffman & Hoffman, Inc.


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