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Embedded Programmer Jobs in Louisiana (NOW HIRING)

iOS AI Embedded Engineer

Central, LA · On-site

$129K/yr

Fluent English for direct client communication. iOS AI Embedded Engineer Requirements * Strong competency in iOS/Swift development (SwiftUI/UIKit experience). * Experience operating modern AI ...

Senior FPGA Engineer

Ruston, LA · On-site

$84K - $113K/yr

Embedded Debugging / Emulation * Advanced level C programmer * FPGA: VHDL and / or Verilog Desirable Qualifications / Skills (some or all would be viewed positively): * Advanced degrees in Electrical ...

Senior FPGA Engineer

Ruston, LA · On-site

$84K - $113K/yr

Embedded Debugging / Emulation * Advanced level C programmer * FPGA: VHDL and / or Verilog Desirable Qualifications / Skills (some or all would be viewed positively): * Advanced degrees in Electrical ...

Direct research into AI/ML based anomaly detection methods for embedded systems, including Bayesian ... Provide engineering leadership and management including technical direction, scheduling ...

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Embedded Programmer information

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How much do embedded programmer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for embedded programmer in Louisiana is $26.99, according to ZipRecruiter salary data. Most workers in this role earn between $23.03 and $30.43 per hour, depending on experience, location, and employer.

What is an embedded programmer?

Embedded programmers are software developers who specialize in writing code for embedded systems—computers designed to perform dedicated functions within larger mechanical or electrical systems. These programmers typically work with hardware like microcontrollers, sensors, and other specialized devices, often using languages such as C or C++. Their work ensures that devices like medical equipment, automotive controls, consumer electronics, and industrial machines operate reliably and efficiently. Embedded programmers must have a strong understanding of both software development and hardware integration.

What skills and qualifications are needed to thrive as an embedded programmer?

To thrive as an Embedded Programmer, you need a solid background in computer science or electrical engineering, strong proficiency in C/C++ programming, and experience with microcontroller architectures. Familiarity with development tools like debuggers, oscilloscopes, version control systems (e.g., Git), and real-time operating systems (RTOS) is typically required. Problem-solving, attention to detail, and effective communication are essential soft skills that set high performers apart. These skills and qualities ensure reliable, efficient code development and smooth collaboration within multidisciplinary engineering teams.

What are common challenges faced by embedded programmers when integrating hardware and software components?

Embedded programmers often encounter challenges such as limited memory, processing power, and real-time constraints when integrating hardware and software. Debugging can be more complex due to the interaction between code and physical devices, requiring specialized tools like oscilloscopes or logic analyzers. Additionally, ensuring compatibility across various hardware platforms and managing low-level drivers can add to the complexity, making strong problem-solving skills and attention to detail essential in this role.

What job categories do people searching Embedded Programmer jobs in Louisiana look for?

The top searched job categories for Embedded Programmer jobs in Louisiana are:

Infographic showing various Embedded Programmer job openings in Louisiana as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $56,147 per year, or $27 per hour.

iOS AI Embedded Engineer

Central, LA • On-site

$129K/yr

Other

Posted 13 days ago


Job description

Core Expertise
  • Experience operating modern AI-assisted development tools (e.g., Cursor, Claude Code, Codex).
  • Ability to perform deep repository and git-history analysis to map out legacy codebases and structure them for LLMs.
  • Excellent communication and coaching skills to lead engineering workshops and conduct workflow interviews.
  • Fluent English for direct client communication.
iOS AI Embedded Engineer Requirements
  • Strong competency in iOS/Swift development (SwiftUI/UIKit experience).
  • Experience operating modern AI-assisted development tools (e.g., Cursor, Claude Code, Codex).
  • Ability to perform deep repository and git-history analysis to map out legacy codebases and structure them for LLMs.
  • Excellent communication and coaching skills to lead engineering workshops and conduct workflow interviews.
  • Fluent English for direct client communication.
Nice-to-Have
  • Understanding of CI/CD constraints, particularly macOS-VM virtualisation and Namespace runners.
  • Familiarity with building local pre-flight CI skills to catch build failures early.
  • Prior experience working in an AI Software Factory model, including knowledge of Limestone's open-source accelerators (Velocity Core, Developer Intelligence).
  • Experience in the VPN, mobile security, or telecommunications app space.
Responsibilities
  • Embedded with the client's iOS team for a 1-month Foundation phase to map their Swift codebase, identifying active code, legacy systems, and repeating patterns.
  • Conduct 30-minute workflow interviews with the Head of iOS and 3-4 engineers to inventory tooling and identify repetitive, slow, or frustrating tasks.
  • Ship a tailored AI toolkit directly to the iOS team within the first 7 days, including task-specific agents, commands, hooks, and local pre-flight CI skills.
  • Build a versioned, agent-readable knowledge base inside the client's repository (covering spec-driven development, review patterns, etc.).
  • Establish a cost telemetry baseline for AI/LLM API spend across the iOS team.
  • Deliver two team-wide workshops: "Spec-driven development with AI" (90 mins) and "The AI Factory blueprint" (60 mins).
  • Create a final Foundation handoff document that summarises findings and tools shipped, and lays out the recommended starting point for the Phase 2 Velocity Pod.
About the project

The project objective is to operationalise agentic engineering and shift the client's iOS engineering team to an AI-first baseline. This role will serve as the initial "Foundation Embed," tasked with doing a structured pass on the client's legacy iOS/Swift codebase to make it agent-readable. The engineer will deploy a tailored AI toolkit, build an agent-readable knowledge base, and level up the team's AI fluency to prepare the infrastructure for a Phase 2 Velocity Pod rollout.

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