Remote Embedded software engineer jobs

We, at Turing, are looking for Embedded software engineers to take charge of designing, developing, and maintaining embedded systems in products. Get an opportunity to work with the leading Silicon Valley companies and rise quickly through the ranks.

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Job description

Job responsibilities

  • Design and implement software systems for embedded systems and devices
  • Write embedded software code as per the desired specifications
  • Test, debug, and improve software systems for scalability, stability, and efficiency
  • Integrate, validate, and implement new product designs
  • Optimize I/O and software systems’ performance
  • Collaborate with other developers and teams for hardware design and development
  • Document software application values and provide continuous support to other teams

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of engineering experience working with embedded systems (rare exceptions for highly skilled developers)
  • Extensive knowledge in programming languages such as C or C++
  • Hands-on experience in developing and troubleshooting embedded systems
  • Knowledge of configuration management and defect tracking tools
  • Strong understanding of IP protocols, OS coding techniques, interfaces and hardware subsystems
  • Working knowledge of reading schematics and data sheets
  • Fluent in English to communicate effectively
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Understanding of embedded systems with multitasking, real-time, and preemptive OS
  • Experience with Linux operating systems
  • Understanding of embedded system design patterns
  • Good knowledge of Internet of Things (IoT) and data structures
  • Familiarity with microcontrollers and microprocessors
  • Strong analytical and problem-solving aptitude
  • Familiarity with software configuration tools and software optimization skills

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How to become an embedded software engineer ?

Embedded software is an application that controls a specific function of a larger machine. One example of embedded software is the BIOS on a computer, which performs basic memory-and-storage services for the computer’s operating system. Because most embedded applications are self-contained, embedded software engineers may also be responsible for designing the entire hardware component with which their code will run.

An embedded software engineer is someone who creates software for embedded systems. These engineers have a general understanding of the embedded system's capabilities and limitations. The engineer will ensure that the software is compatible with the system.

What is the scope of embedded software engineering?

In the coming years, the global embedded systems market will expand at an exponential rate. The growth of embedded electronics has resulted in new design software and strategies tailored to those systems.

Because an embedded software engineer's role is so specialized and complex, this type of software engineer is in high demand. When compared to other occupations, embedded software engineers have experienced faster growth. An embedded software engineer is difficult to find because demand may outnumber supply. It is a competitive market, and embedded software engineers will find ample opportunities in the tech world.

What are the roles and responsibilities of an embedded software engineer?

As an embedded software engineer, you’ll be responsible for developing the code that runs devices ranging from toasters to airplane engines. The demands of embedded software engineering are a cross between those of a software programmer and an electrical engineer.

Like software engineers, embedded engineers need to understand complex programming languages such as C and C++, but they also must have in-depth knowledge of electronics and engineering principles to ensure that their code can communicate with the hardware and function properly with it.

  • Develop and implement embedded device and system software from prerequisites to manufacturing and commercial deployment
  • Create, build, code, test, and fix errors of the system software
  • Examine the code and design
  • Analyze and improve system resource productivity, reliability, and scalability
  • Embed and evaluate new product designs
  • Support software testing and optimizing I/O performance
  • Provide post-production assistance
  • Interaction with hardware designers and developers
  • Examine both third-party and open-source software

How to become an embedded software engineer?

Now let's move on to the path that one must take to practice a profession in the field of embedded software development. For starters, keep in mind that there is no formal education required to become an embedded software engineer. You can master embedded software development to make a career out of, graduate or not, experienced or inexperienced. All you need is hands-on experience and proficiency in relevant technical and soft skills.

However, you may have heard that to land a remote embedded software engineer job, you need to have a bachelor's or master's degree in computer science or a similar discipline. This is true for several reasons: Firstly, having the right university degree helps you to better understand computer programming and web development, which will greatly help you learn embedded software development. Second, many companies require candidates to have specific qualifications when hiring embedded software engineers, which makes it easier to land rewarding job opportunities.

Now let's look at the skills and methods you'll need to master to become a successful embedded software engineer:

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Skills required to become an embedded software engineer

Here are the fundamental skills you need to learn for high-paying embedded software engineer jobs.

1. C

C is a structured programming language that allows complex hardware or software problems to be broken into smaller, more manageable tasks. It also allows for the movement of data between the various software components. C is a general-purpose programming language and can efficiently work on many different types of programs, including applications for enterprise, computer games, graphics, applications requiring calculations, etc. C is also used in embedded systems development. This means that it is used to develop products such as computers, cell phones, and other electronic devices.

2. C++

C++ is a general-purpose coding language that can be used for game programming, software engineering, database development, developing browsers, operating systems, applications, and more. It supports procedural and object-oriented programming and was created as an extension to the C programming language. Millions of existing programs and lines of code use it as the basis.

3. Microcontrollers

A microcontroller, embedded inside a system, controls a specific function in a device. The processor of the microcontroller interprets data it receives from input/output (I/O) peripherals using its central processing unit. The temporary information that the processor is accessing is stored in the data memory of the microcontroller, where the processor retrieves it and uses instructions stored in its program memory to decipher and apply the incoming data. It then uses its input/output peripherals to communicate and enact the appropriate action.

4. Linux

The Linux operating system is a Unix-like and open-source OS for computers, servers, mainframes, mobile devices, and embedded devices. It can manage hardware resources, launch and handle applications, and provide some form of user interface. It is commonly used as an embedded OS for a variety of applications, including household appliances, automotive entertainment systems, and network file system appliances.

5. Real-Time Operating System

An RTOS is a piece of software designed to efficiently manage the time of a central processing unit (CPU). RTOSes are most common in embedded systems, where time is critical. Developers familiar with operating systems, such as Windows and Linux, will notice the characteristics of an embedded RTOS. They are designed to run on systems with limited memory and to operate indefinitely without needing to be reset. Because they are designed to respond to events quickly and perform under heavy loads, RTOSes tend to be slower at performing big tasks when compared to other types of operating system.

Interested in remote embedded software engineer jobs?

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How to get remote embedded software engineer jobs?

Developers and embedded software engineers are a lot alike. In order to excel at their craft, they have to practice effectively and consistently. They also need to work hard enough that their skills grow gradually over time. In that regard, there are two major factors that developers must focus on in order for that progress to happen: the support of someone who is more experienced and effective in practice techniques while you're practicing. As a developer, it's vital for you to know how much to practice - so make sure there is someone on hand who will help you out and keep an eye out for any signs of burnout!

Turing offers the best remote embedded software engineer jobs that suit your career trajectories as an embedded software engineer. Grow rapidly by working on challenging technical and business problems on the latest technologies. Join a network of the world's best developers & get full-time, long-term remote embedded software engineer jobs with better compensation and career growth.

Why become an embedded software engineer at Turing?

Elite US jobs
Career growth
Exclusive developer community
Once you join Turing, you’ll never have to apply for another job.
Work from the comfort of your home
Great compensation

How much does Turing pay their embedded software engineers?

At Turing, every embedded software engineer is allowed to set their rate. However, Turing will recommend a salary at which we know we can find a fruitful and long-term opportunity for you. Our recommendations are based on our assessment of market conditions and the demand that we see from our customers.

Frequently Asked Questions

Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing leverages the expertise of its globally distributed technical, business, and research experts to help Fortune 500 companies deploy customized AI solutions that transform operations and accelerate growth. As a leader in the AGI ecosystem, Turing partners with top AI labs and enterprises to deliver cutting-edge innovations in generative AI, making it a critical player in shaping the future of artificial intelligence.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

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We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

Our unique differentiation lies in the combination of our core business model and values. To advance AGI, Turing offers temporary contract opportunities. Most AI Consultant contracts last up to 3 months, with the possibility of monthly extensions—subject to your interest, availability, and client demand—up to a maximum of 10 continuous months. For our Turing Intelligence business, we provide full-time, long-term project engagements.

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Principal GenAI Engineer

Title - Sr./Staff/Principal GenAI Engineer

Location - NYC, NY (Onsite)

Fulltime


About Turing

Based in Palo Alto, California, Turing is the world’s first AI-powered tech services company. It has reimagined tech services from the ground up with AI by offering AI-vetted and matched talent, AI-accelerated development, and access to AI transformation experts who have built many of the most iconic Silicon Valley companies.

Founded in 2018, the company has experienced tremendous growth with over two million global developers on its Talent Cloud and 900+ clients. Turing has received numerous awards, including Forbes’s 2022 “One of America’s Best Startup Employers,” being ranked #1 in The Information’s 2021 Annual List of most promising B2B Companies and Fast Company’s “Annual List of the World’s Most Innovative Companies.”

The company’s leadership team comprises both AI technologists from leading organizations including Meta, Google, Microsoft, Apple, Amazon, Twitter, Stanford, Caltech, MIT as well as tech consulting veterans from Accenture, Cognizant, Capgemini, McKinsey, Bain, and more.


About the role:

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of  a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises.



Mandatory Knowledge:

  • Agentic AI/Langgraph
  • MCP
  • Graph DB


Required skills:

  • 8+ years for Sr GenAI Engineer and 10+ years for Staff/Principal GenAI Engineer, of professional experience in building Machine Learning models & systems
  • 3+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.
  • Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
  • Understanding of Cloud services from various cloud services from Azure, GCP, or AWS for building the GenAI applications
  • Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

  • Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
  • Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
  • Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
  • Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
  • Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
  • Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.


Vetting Process

  • Technical Discussion Zoom (Live Coding while sharing screen) - 1 hour
  • Delivery Connect - ½ Hour (Zoom)
  • In person interview at NYC, NY
Finance
251-10K employees
Artificial IntelligenceLLM
briefcase
Python Gen AI

Principal GenAI Engineer – Backend / Fullstack

Location: Mumbai (3 Days WFO)
Employment Type: Full Time
Experience Level: Principal (5-9 years)

About the Role

Turing is hiring a Principal GenAI Engineer to lead enterprise-scale AI implementations for Fortune 500 clients. This role focuses on designing and building scalable, production-grade GenAI systems powered by LLMs, Retrieval-Augmented Generation (RAG), and agent-based architectures.

You will work at the intersection of backend/fullstack engineering and applied AI, building reliable, high-performance systems that integrate LLM capabilities into real-world applications.

What We’re Looking For

  • 5-9 years of experience in software engineering (backend or fullstack)
  • 2+ years of hands-on experience with LLMs (RAG, agents, prompt engineering)
  • Strong experience building production-grade distributed systems
  • Proficiency in Python 
  • Strong experience with SQL & NoSQL databases
  • Hands-on experience with LangChain, LangGraph, or similar frameworks
  • Experience deploying systems on AWS / Azure / GCP
  • Strong understanding of APIs, microservices, and system design

Key Responsibilities

  • Design and build scalable GenAI applications using LLMs and RAG pipelines
  • Develop and optimize backend services and APIs for AI-powered systems
  • Build and deploy agent-based workflows and orchestration systems
  • Integrate LLMs into real-world enterprise applications
  • Ensure performance, scalability, and reliability of AI systems in production
  • Collaborate with product, data, and engineering teams to deliver end-to-end solutions
  • Implement monitoring, evaluation, and guardrails for GenAI systems

Good to Have

  • Experience with vector databases (Pinecone, Weaviate, FAISS, etc.)
  • Exposure to frontend frameworks (React, Next.js) for fullstack roles
  • Familiarity with CI/CD pipelines and DevOps practices
  • Understanding of model evaluation, fine-tuning, or LLMOps
  • Experience building multi-tenant or enterprise SaaS platforms

Why Join Turing

  • Work on cutting-edge GenAI use cases with global enterprises
  • Opportunity to build real-world AI systems at scale
  • High ownership and leadership in technical decision-making
Finance
251-10K employees
PythonNode.jsJava+ 6
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