Turing

Remote software developer jobs at U.S. companies

We, at Turing, are looking for talented remote software developers who can build high-quality, innovative, and fully performing software that complies with coding standards and technical design.

Find remote software jobs with hundreds of Turing clients

Job description

Job responsibilities

  • Test software development methodology in an agile environment & provide inputs for continuous improvement
  • Provide ongoing maintenance, support, and enhancements in existing systems and platforms
  • Comply with project plans and industry standards to troubleshoot, debug and upgrade systems
  • Automate various processes, build software infrastructure, aid in capacity planning and architecture
  • Work with data scientists, business users, project managers & other engineers to build the required software solutions

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science (or equivalent experience)
  • 3+ years of software development experience building (exceptions based on skill level)
  • Experience supporting production quality software and owning projects from end-to-end
  • Experience with test-driven development and automated testing frameworks
  • Capable of delivering on multiple competing priorities with little supervision
  • Execute the full software development life cycle & build highly available, scalable & secure systems
  • Skilled in various web technologies & their nuances like HTML, CSS, UI/UX, React, Angular, and design among others
  • Knowledge of coding languages, such as C++, Java, JavaScript, and code versioning tools like Git
  • Communicate fluently in English with engineering managers at U.S. software companies
  • The ability to work full-time (40 hours/week) and a 4 hour overlap with U.S. time zones

Preferred skills

  • Experience with Scrum/Agile development methodologies
  • Experience with databases and Object-Relational Mapping (ORM) frameworks
  • Experience building large-scale, customer-centric software applications
  • Strong understanding of large codebases, like API techniques & handling large volumes of data
  • The ability to use constructive feedback to continuously grow and improve

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Why join Turing?

Elite US Jobs

1Elite US Jobs

Turing’s developers earn better than market pay in most countries, working with top US companies.
Career Growth

2Career Growth

Grow rapidly by working on challenging technical and business problems on the latest technologies.
Developer success support

3Developer success support

While matched, enjoy 24/7 developer success support.

Developers Turing

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How to become a Turing developer?

Work with the best software companies in just 4 easy steps
  1. Create your profile

    Fill in your basic details - Name, location, skills, salary, & experience.

  2. Take our tests and interviews

    Solve questions and appear for technical interview.

  3. Receive job offers

    Get matched with the best US and Silicon Valley companies.

  4. Start working on your dream job

    Once you join Turing, you’ll never have to apply for another job.

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How to become a software developer?

Software development is the process through which programmers create computer programs. The process, commonly known as the Software Development Life Cycle (SDLC), consists of many phases that give a mechanism for developing products that fulfill technical standards as well as user needs.

The SDLC offers an international standard for software firms to utilize while developing and improving computer systems. It provides a specified structure for development teams to follow while designing, developing, and maintaining high-quality software. The goal of the IT software development process is to provide high-quality solutions within a set budget and schedule.

What is the scope of software development?

Being a software developer opens a number of career opportunities for you.
According to current trends, new technologies such as artificial intelligence, automation, virtual reality, and cryptocurrencies will trigger the urgent demand for employment in engineering, product development, data science, marketing, and sales. With each passing second, more and more conventional businesses are beginning to impose and embrace high-end technology, much like any successful IT firm in the market, be it health care or finance, since it simplifies workflow and reaps sweet benefits and returns. The potential software developer jobs are in the areas of:

Data Scientist

The specialists acquire, analyze, and display data using statistics and software engineering skills to obtain valuable insights that, when included in decision making, can increase the organization's yield and individual returns. Few people realize that machine learning is a subset of the data science department that is used to generate predictions about trends based on data retrieved in the past, evaluate the accuracy of the forecasts, and then refine the algorithms to improve the process of future predictions.

Cybersecurity Engineer

Companies are constantly in the search for smart software engineers that can provide a stronger and more active layer of security without sacrificing quality.

Machine learning engineer

Analyzing online search results, real-time advertisements on devices, email spam filtering, and pattern and picture recognition may all provide important data to machine learning engineers. Such thorough procedures eliminate the previous methods of data analysis (which are based mostly on trial and error) – Machine learning puts a halt to the chaotic data process by building quick, efficient algorithms and real-time data models to offer accurate targets and analysis.

Full-stack developer

Rather than having distinct back-end and front-end teams allocated to it, full-stack developers handle the whole project, from idea design through product deployment.
The front-end layer is largely concerned with the client's experience and subsequent user reaction, whereas the back-end is concerned with the logic of the web app. The server side of the program includes everything from creating the appropriate back-end languages to guaranteeing a relevant thesis. Finally, database development and upkeep.

What are the roles and responsibilities of a software developer?

You might work as a software developer in a number of sectors, which means you could work on a variety of projects. You will most likely collaborate closely with engineers, product managers, graphic designers, and business analysts to determine what clients want and the most efficient method to deliver it. You will be in charge of either replacing an entire system or updating software and integrating it into existing networks. Your daily tasks may include: Using a variety of programming tools and languages, your everyday activities may include:

  • Software research, design, implementation, and management
  • New programmes are being tested and evaluated.
  • Identifying areas for improvement in current programmes and then implementing these improvements
  • Writing and deploying effective code
  • Creating processes for quality assurance
  • Putting software tools, procedures, and measurements in place
  • Existing systems must be maintained and upgraded.
  • User education
  • Collaborating with other developers, UX designers, business analysts, and systems analysts
  • Assessing operational feasibility

How to become a software developer?

Several students select a bachelor's degree in computer science because it allows them to study in-depth theoretical ideas of computer science courses, which helps them grasp the principles of software development. Data structures, algorithms, web technology, computer networks, Mathematics, database systems, programming languages, and a variety of other important courses assist students gain a thorough grasp of software engineering and current software development techniques.

Many businesses establish the qualifying criteria for a four-year bachelor's degree programme in computer science, so getting a degree is a good option, but you shouldn't rely solely on a degree. All of those topics will not provide you with practical experience or allow you to work on real-world projects. You cannot tell someone that you have enrolled in a course to become a software engineer unless you have had practical experience.

To become a software developer, you must put your theoretical knowledge and principles into practise by working on real-world software. You must demonstrate your practical abilities to the recruiter, and we will discuss what you should do in addition to theoretical knowledge in the following sections.

Language is how humans interact with one another, and you must tell your computer what to do in a language that computers can comprehend. Even if you are a graduate or have a degree, it is useless if you do not have a thorough grasp of any programming language used to create software. You must now assume responsibility for your own education, so select a programming language based on your preferences and goals, and become well-versed in it.
Some languages to consider include Ruby, Java, Python, C++, C#, and Javascript. As a starter, it is not necessary to learn three or four languages at the same time. Begin with one language and become fluent in it. Once you've gained some experience, you can try your hand at another language.

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Skills required to become a software developer

We will discuss some important technical skills you should have as a developer or if you are planning to become a good developer and land a good Software developer job:

1. Data Structures and algorithms

Most organisations place a high value on this ability when evaluating problem-solving and coding abilities. You may become a good software developer if you understand how data can be structured and used to address real-world problems. As a developer, a student of computer science, or a self-taught programmer, you should make a concerted effort to understand data structures and algorithms (e.g. array, linked list, tree). The essence of programming is data structures and algorithms. Most developers do not recognise its significance at first, but when you begin your career in software development, you will notice that your code is taking too long.

2. Programming languages

To be a skilled programmer, you must be fluent in at least one programming language. When selecting the programming language to use, consider your area of interest and the language in which you like to solve issues or are most comfortable.

3. Source control

Source control aids developers in the management and storage of their code. Today, the majority of organisations are seeking for a developer that is skilled in version control and can work with other team members. So, if you want to be a competent software engineer, you need to be familiar with version control principles and technologies such as Git (favoured by 70-80% of organisations), Mercurial, SVN, and so on.

4. Integrated Development Environments (IDEs)

IDEs allow you to write, change, build, run, and debug code. Varied programmers have different options when it comes to selecting the ideal development environment for the goal or language they are working on. Every programmer should be able to utilise an IDE to write, build, execute, and debug code. Using an IDE speeds up their job, and there are several IDEs available for developers to choose from.

5. Databases

Understanding how to interact with databases is a necessary ability for developers. Developers should be able to do all types of operations, such as creating, inserting, updating, and deleting records. Without a database, no company can create any sort of application or software. When a developer works on a significant business project, they must also take care of security issues and manage the entire organization's records with adequate backup, which is why every organisation expects a developer who is comfortable dealing with databases and maintaining the entire records securely. SQL is without a doubt the most popular traditional database among developers. If you want to be a successful developer, you should be able to write at least basic SQL queries.

6. Collaboration and communication are essential

Being programmatic might look isolated at times, but it is actually quite the contrary. During a development sprint, software developers frequently discuss progress, cooperate on projects, and supervise others. Any problems with teamwork or communication might jeopardise a project or meet a deadline.

7. Multitasking

One of the most important talents necessary to become a software engineer is the ability to multitask. Software engineers operate in deadline-driven sprints, which frequently require them to work on numerous projects at the same time. Software developers must grasp the principles of prioritising and time management in order to multitask well.

Interested in remote software developer jobs?

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How to get remote software developer jobs?

Turing provides the greatest remote software development jobs to complement your career as a competent software developer. Working on tough new technology and business issues can help you grow quickly. Join our network of the world's top developers to get long-term, full-time remote software development jobs with better pay and opportunities for advancement.

Why become a Software developer at Turing?

Elite U.S. jobs

Long-term opportunities to work for amazing, mission-driven U.S. companies with great compensation.

Career growth

Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

Exclusive developer community

Join a worldwide community of elite software developers.

Once you join Turing, you’ll never have to apply for another job.

Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.

Work from the comfort of your home

Turing allows you to work according to your convenience. We have flexible working hours and you can work for top U.S. firms from the comfort of your home.

Great compensation

Working with top U.S. corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay their software developers?

Every software developer at Turing has the ability to determine their own rate. However, Turing will propose a wage at which we are confident we can find you a successful and long-term opportunity. Our recommendations are based on our evaluation of market circumstances as well as client desire.

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.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

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.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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briefcase
Principal AI Engineer - US NYC

Principal AI Engineer

Location: US(NYC)- 3(WFO)

Employment Type: Full Time (Overlapping EST)

Experience Level: Staff/Principal (8–14 years)


About the Role

Turing is hiring a Staff/Principal AI Engineer to lead enterprise-scale agentic AI implementations for Fortune 500 clients. This is a hands-on engineering role focused on designing and shipping autonomous, tool-calling AI systems — agents that reason over enterprise context, invoke real systems through secure interfaces, and operate reliably at scale under strict latency, cost, and governance constraints.

You will own these systems end to end: the data pipelines feeding them, the backend services around them, the agent orchestration layer, the evaluation harness that keeps them honest, and the cloud infrastructure they run on. We are looking for engineers with genuine software engineering and data science depth who have taken agentic systems all the way to production.

What We're Looking For

Engineering foundation

  • 8–14 years of software engineering experience, with strong hands-on large-scale Python
  • Working depth in at least one systems or backend language — Go, Rust, Java, or C/C++ — and the judgment to know when to reach for it
  • Strong data structures and algorithms.
  • Strong understanding of APIs, microservices, and system design
  • Hands-on experience building and operating data pipelines and production-grade distributed systems.

Agentic AI and LLMs

  • 2+ years of hands-on LLM engineering, with at least couple agentic system you designed and took to production
  • Production experience with agent frameworks — LangGraph, Google ADK, CrewAI, Claude Agent SDK, or equivalent — and the fluency to move between them as the ecosystem evolves
  • Experience building MCP (Model Context Protocol) servers and tool-calling interfaces
  • RAG from first principles: chunking strategy, embeddings, vector and hybrid retrieval, reranking, and response validation
  • Strong experience with vector databases (Milvus, Pinecone, Weaviate, FAISS, etc. or cloud equivalents)
  • Design of guardrails and reliability patterns — validators, policy checks, self-correction loops, deterministic fallbacks, circuit breakers, and rollback paths

Optimization

  • Deep familiarity with token optimization and context-window management — context shaping, pruning, and compaction
  • Latency and cost optimization through caching, model routing, batching, streaming, and parallel tool calls
  • Performance testing and tuning systems against defined SLOs

Evaluation

  • Experience building evaluation frameworks for LLM systems — offline eval sets, continuous online evaluation, and regression detection
  • Instrumentation and traceability suitable for regulated enterprise environments using tools like LangSmith, Langfuse, etc.

Cloud

  • Hands-on AWS: containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift) and orchestration (Step Functions); Azure or GCP equivalents also valued
  • Familiarity with CI/CD pipelines and DevOps practices
  • Infrastructure as code with Terraform or CloudFormation, and mature CI/CD practice

Working traits

  • Strong analytical problem-solving with a bias to ownership and urgency
  • Clear cross-team communication, working directly with client stakeholders to translate business problems into technical roadmaps
  • Able to work productively in ambiguity from system-level documentation and ramp quickly in unfamiliar codebases

Good to Have

  • Experience with managed AI platforms — Amazon Bedrock, Vertex AI, Azure AI — paired with fluency in the underlying fundamentals

Roles & Responsibilities

  • Design and build agentic systems: Lead the architecture and implementation of tool-calling agents that combine retrieval, structured reasoning, and secure action execution with least-privilege access.
  • Productionize LLM applications: Build retrieval pipelines, prompt synthesis, response validation, and self-correction loops, backed by rigorous evaluation.
  • Own the full stack: Deliver the data pipelines, backend services, distributed compute, and orchestration layer that agentic systems depend on — not only the model invocation.
  • Engineer for reliability and governance: Build validator models, adversarial test suites, and policy checks; enforce deterministic fallbacks and rollback strategies; instrument continuous evaluation.
  • Optimize for cost and latency: Drive measurable improvements in token efficiency, response time, and unit economics against defined SLOs.
  • Codebase ownership: Build, maintain, and review high-quality Python and SQL, with an emphasis on reusable components, scalability, and performance.
  • Cloud integration: Deploy AI applications on AWS, Azure, or GCP with optimized resource usage and robust CI/CD.
  • Cross-functional collaboration: Partner with product owners, data scientists, and business SMEs to define requirements and deliver impactful AI products.
  • Mentoring and technical leadership: Set engineering standards and share knowledge across the team, raising the bar on AI and software engineering practice.
Finance
10K+ employees
PythonGoRust+ 4
briefcase
Lead Edge AI & Computer Vision Engineer

Lead Edge AI & Computer Vision Engineer

  • Location: USA [with regular on-site travel required to client site]
  • Target Start Date: 1 Sep
  • Time Commitment: 8 weeks full-time
  • Experience Level: 12–15+ Years

Core Objective: Architect, benchmark, and optimize an end-to-end computer vision and low-latency execution pipeline—combining spatial geometric math with low-level C++/CUDA acceleration directly on NVIDIA Jetson embedded edge hardware (Orin NX / AGX Orin) to achieve sub-10 ms processing latency.

Key Responsibilities

  1. Model Selection & Spatial Math: Evaluate real-time detection topologies (e.g. YOLO) at 100+ FPS and build 2D perspective homography unwarping, lens undistortion, and spatial algorithms to convert pixel coordinates into physical millimeter units within tight error bounds (millimeter level accuracy).
  2. TensorRT INT8 Acceleration: Execute Post-Training Quantization to compile PyTorch/ONNX models into high-throughput TensorRT INT8/FP16 engines on Jetson Orin hardware without accuracy degradation.
  3. Zero-Copy Memory Architecture:  Engineer zero-copy memory pipelines using NVIDIA Memory Management and DMA transfers to eliminate bottlenecks.
  4. Compiled C++ Execution & I/O: Build compiled C++17 execution frameworks with multi-threaded lock-free ring buffers and non-blocking asynchronous socket communication.
  5. Nsight Profiling & Roadmapping: Instrument stage-by-stage pipeline latency using NVIDIA Nsight Systems/NVTX markers to bound tail latency, author feasibility reports, and design technical roadmaps.

Key Qualifications & Experience

  1. Full-Stack Edge AI Experience: 12–15+ years of experience bridging real-time computer vision algorithm design, spatial geometry, and low-level C++/CUDA execution on embedded edge hardware.
  2. NVIDIA Jetson Ecosystem: Deep expertise in Jetson embedded platforms (Orin NX, AGX Orin, L4T, power profiles, core pinning) and a proven track record compiling/tuning TensorRT FP16/INT8 engines via PTQ/QAT.
  3. Optical & Spatial Geometry: Expertise in 2D/3D camera calibration, perspective homography transformations, lens distortion modeling, and millimeter sizing math in industrial settings.
  4. Low-Latency Systems Engineering: Expertise in zero-copy shared memory, DMA frame buffers, lock-free queues, custom CUDA plugins, and microsecond profiling via Nsight Systems and NVTX markers.
  5. Tooling & Industrial I/O: Proficiency in C++17, Python, PyTorch, OpenCV, CUDA, non-blocking asynchronous sockets (UDP, PLC integration), and building automated dataset benchmarking harnesses.
Manufacturing
10K+ employees
C++CUDANVIDIA Omniverse+ 5
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