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Embedded Systems Engineer Entry Level Jobs in Baton Rouge, LA

Limestone Digital

iOS AI Embedded Engineer

Central, LA · On-site

$129K/yr

Fluent English for direct client communication. iOS AI Embedded Engineer Requirements * Strong ... legacy systems, and repeating patterns. * Conduct 30-minute workflow interviews with the Head of ...

Varsity Tutors

C++ Tutor

Baton Rouge, LA · Remote

$40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

Immense Networks

Be Seen First

Level One Technical Engineer

Baton Rouge, LA · On-site

$20 - $25/hr

This entry-level role focuses on providing first-line support for client issues, maintaining systems, and escalating more complex problems to senior engineers. The ideal candidate will demonstrate ...

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Embedded Systems Engineer Entry Level information

See Baton Rouge, LA salary details

$49.1K

$107.8K

$150.7K

How much do embedded systems engineer entry level jobs pay per year?

As of Sep 10, 2026, the average yearly pay for embedded systems engineer entry level in Baton Rouge, LA is $107,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $128,300.00 per year, depending on experience, location, and employer.

What does an entry-level embedded systems engineer do?

As an entry-level embedded systems engineer, you carry out your duties under the supervision of an experienced embedded systems engineer to learn the necessary responsibilities and skills for the job. Entry-level embedded systems jobs include tasks that focus on hardware and software design and the components that go along with them. You design, troubleshoot, and test hardware and software, electronic circuits, mechanical equipment and machines, and other systems related to computers and computer equipment. Entry-level embedded systems engineer roles are usually for recent or soon-to-be graduates of a bachelor’s degree program in computer science, computer engineering, or a similar field.

What are the key skills and qualifications needed to thrive as an entry-level embedded systems engineer?

To thrive as an Entry-Level Embedded Systems Engineer, you need a solid understanding of C/C++ programming, microcontroller architectures, and basic electronics, usually backed by a bachelor's degree in electrical engineering, computer engineering, or a related field. Familiarity with tools such as oscilloscopes, debuggers, integrated development environments (IDEs) like Keil or Eclipse, and version control systems like Git is typical. Strong problem-solving skills, attention to detail, and effective teamwork help you excel in this collaborative and detail-oriented environment. These competencies are crucial for developing reliable embedded solutions that meet technical requirements and project deadlines.
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What are the most commonly searched types of Embedded Systems Engineer jobs in Baton Rouge, LA?

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For Embedded Systems Engineer Entry Level jobs in Baton Rouge, LA, the most frequently searched job titles are:

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Embedded Systems Engineer Entry Level jobs near you
Infographic showing various Embedded Systems Engineer Entry Level job openings in Baton Rouge, LA as of September 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $107,752 per year, or $51.8 per hour.

iOS AI Embedded Engineer

Central, LA • On-site

Limestone Digital
See more jobs at Limestone Digitalexternal

$129K/yr

Other

Posted 8 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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