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Urgently Hiring Algorithmic Trading Software Developer Jobs in Raleigh, NC

Implement end-to-end testing to ensure software quality and performance. * Debug, test, and ... Understanding of basic data structures, algorithms, OOP principles, coding standards, and best ...

Software Engineer As a Software Engineer, you will play a key role in delivering an enterprise ... Solid understanding of data structures, algorithms, multithreading, distributed systems, and modern ...

Demonstrate strong ownership and DevOps mindset - code that is developed must be testable and ... Strong knowledge of data structures and algorithms. * 5+ years programming in Java, Ruby, C/C++, C# ...

Advance Auto Parts lead software engineers are focused on developing next-generation technologies ... Develop algorithms while considering the impact on hardware, network, service operations and ...

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Urgently Hiring Algorithmic Trading Software Developer information

See Raleigh, NC salary details

$46.7K

$108.7K

$161.4K

How much do urgently hiring algorithmic trading software developer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for urgently hiring algorithmic trading software developer in Raleigh, NC is $108,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $126,400.00 per year, depending on experience, location, and employer.

What is the difference between Urgently Hiring Algorithmic Trading Software Developer vs Quantitative Analyst?

AspectUrgently Hiring Algorithmic Trading Software DeveloperQuantitative Analyst
Required CredentialsComputer Science or Software Engineering degree, coding skillsMathematics, Statistics, or Finance degree, analytical skills
Work EnvironmentFast-paced trading firms, tech-driven teamsFinancial institutions, research-focused teams
Industry UsageDevelops trading algorithms and softwareBuilds models for risk, pricing, and market analysis
Common Search IntentHiring, job openings, software development rolesFinancial modeling, analysis, research roles

While both roles operate within the finance industry, the Algorithmic Trading Software Developer focuses on creating and maintaining trading algorithms through coding, often in a fast-paced environment. The Quantitative Analyst emphasizes developing mathematical models for market analysis and risk management. The developer role is more technical and software-oriented, whereas the analyst role leans toward data analysis and financial theory.

Engineering Manager, AI Developer Technology

Engineering Manager, AI Developer Technology

Nvidia

Durham, NC • Hybrid

Full-time

Posted 3 days ago


Job description

We are now looking for an AI Developer Technology Engineering Manager:

Join our global Developer Technology (DevTech) team at NVIDIA, where we drive innovation and enhance the value of our platforms for developers. As a key member of our AI DevTech team, you'll lead a team of highly skilled engineers accelerating end-to-end performance of real-world Deep Learning and Machine Learning applications and developing novel algorithms to optimally leverage Nvidia hardware. Application examples are Large Language Models (LLMs), Computer Vision, Speech, Recommender Systems, and Multimodal architectures. As a Developer Technology Manager, you'll define and lead strategic technical initiatives, setting short- and long-term goals for your team. You'll work closely with customers as well as NVIDIA Research, hardware, and software teams to drive innovation and advance the state-of-the-art in accelerated Deep Learning and Machine Learning. Your team will focus on optimizing performance of complex parallel algorithms and workloads on NVIDIA platforms, including GPU, CPU, and interconnects.

What you'll be doing:

  • Lead your team to optimize and develop algorithms for Machine Learning and Deep Learning applications

  • Define and drive technical initiatives to advance the state-of-the-art in accelerated Deep Learning and Machine Learning applications

  • Collaborate with research, hardware, and software teams to influence the design of next-generation hardware, software, and programming models

  • Develop and communicate technical solutions to external and internal collaborators, including technical design decisions and project plans

  • Hire the best talent to join your team, promoting a diverse and skilled team that can tackle complex technical challenges

  • Coach and grow your team, promoting a culture of engineering excellence and idea proliferation

What we need to see:

  • An MS or PhD in Computer Science, Computer Engineering, or in a related computationally focused science or engineering degree (or equivalent experience).

  • 8+ overall years of relevant experience with 5+ years in a technical role and 3+ years of experience in an engineering leadership role.

  • In-depth expertise in linear algebra and performance optimization of Deep Learning training and inference

  • Background in parallel programming, e.g., CUDA, OpenMP, MPI, pthreads, etc.

  • Programming fluency in C/C++ with a deep understanding of algorithms and software development.

  • Knowledge of CPU and GPU architecture fundamentals and low-level performance optimizations

  • Excellent written and presentation skills.

  • Proven track record of planning and leading critical initiatives.

Ways to stand out from the crowd:

  • A PhD in a relevant field

  • Expertise in LLMs, multimodal model architecture and performance optimizations of relevant computational primitives

  • Proven experience with recruiting top talent.

What's DevTech?

We are a global organization whose mission is to drive innovation we see in the market towards our products. As recognized specialists across many domains, our work makes valuable contributions in two important ways. Our solutions are at the forefront of technology, advancing NVIDIA's leadership in accelerated computing. Our discoveries generate learnings that benefit the Developer Community and provides guidance to help make our products better.NVIDIA's success in the advancement and availability of Artificial Intelligence has created incredible growth across the Company, and Developer Technology Engineering has been steadily growing to meet the demands for our services. We now have need for a leader to join and help continue our momentum.

NVIDIA is widely considered to be one of the technology world's most desirable employers with some of the most forward-thinking and hardworking people in the world working here. If you love building and mentoring a team and are highly technical and enthusiastic about Deep Learning and GPU accelerated AI performance optimizations, we want to hear from you!

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 21, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993