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Entry Level Nasdaq Software Engineer Jobs in Milwaukee, WI

Pwc

AI Engineer

Milwaukee, WI · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

GE HealthCare

Firmware Engineer

Waukesha, WI · On-site

... entry-level Firmware Engineer to join our team supporting advanced Magnetic Resonance Imaging (MRI) systems. In this role, you will learn to design, develop, test, and integrate embedded software ...

Gehc

Firmware Engineer

Waukesha, WI · On-site

... entry-level Firmware Engineer to join our team supporting advanced Magnetic Resonance Imaging (MRI) systems. In this role, you will learn to design, develop, test, and integrate embedded software ...

langan

Civil Engineer - Entry Level

Milwaukee, WI · On-site

... software (AutoCAD, Civil 3D, etc.) and equipment; * Effectively use reports, maps, drawings, engineering plans, test and aerial photographs to assess soil composition, terrain, hydrological ...

langan

Civil Engineer - Entry Level

Milwaukee, WI · On-site

... software (AutoCAD, Civil 3D, etc.) and equipment; * Effectively use reports, maps, drawings, engineering plans, test and aerial photographs to assess soil composition, terrain, hydrological ...

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All JobsNasdaq Software Engineer JobsEntry Level Nasdaq Software Engineer JobsEntry Level Nasdaq Software Engineer Jobs in Milwaukee, WI

Entry Level Nasdaq Software Engineer information

See Milwaukee, WI salary details

$23.6K

$103.3K

$186.2K

How much do entry level nasdaq software engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for entry level nasdaq software engineer in Milwaukee, WI is $103,315.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $118,200.00 per year, depending on experience, location, and employer.

What does an entry level Nasdaq software engineer do?

An Entry Level Nasdaq Software Engineer is responsible for developing, testing, and maintaining software applications that support Nasdaq's financial systems and trading platforms. They typically work under the guidance of senior engineers and collaborate with cross-functional teams to ensure high-quality, reliable software delivery. Their tasks may include writing code, debugging issues, participating in code reviews, and learning about the unique requirements of financial technology. This role is ideal for recent graduates or those starting their software engineering careers who are interested in working in the finance and technology sector.

What are the key skills and qualifications needed to thrive as an entry level Nasdaq software engineer, and why are they important?

To thrive as an Entry Level Nasdaq Software Engineer, you need a solid background in computer science fundamentals, programming (especially Java, C++, or Python), and a relevant degree such as a BS in Computer Science or related field. Familiarity with software development tools, version control systems like Git, and an understanding of cloud platforms or financial technology systems is often expected. Strong problem-solving skills, attention to detail, and effective collaboration and communication abilities help set candidates apart. These skills are crucial for building reliable, high-performance financial software in a team-driven, fast-paced environment.

What are some common challenges faced by entry level Nasdaq software engineers, and how can I prepare to overcome them?

Entry-level software engineers at Nasdaq often encounter challenges such as adapting to complex financial systems, learning proprietary technologies, and collaborating with cross-functional teams in a fast-paced environment. To prepare, it's helpful to familiarize yourself with concepts in financial technology, strengthen your problem-solving skills, and practice clear communication. Proactively seeking mentorship and asking questions can also ease the onboarding process and accelerate your professional growth.

What is the difference between Entry Level Nasdaq Software Engineer vs Entry Level NYSE Software Engineer?

AspectEntry Level Nasdaq Software EngineerEntry Level NYSE Software Engineer
Required CredentialsBachelor's in Computer Science or related field, internships preferredBachelor's in Computer Science or related field, internships preferred
Work EnvironmentFinancial technology firms, trading platforms, data analysisStock exchange operations, trading systems, financial services
Employer & Industry UsageNasdaq Inc., financial technology companiesNYSE, stock exchange operators, financial institutions

Both roles typically require similar educational backgrounds and skills, focusing on software development within financial markets. The main difference lies in the specific trading platforms and systems they support, with Nasdaq roles centered around Nasdaq's technology and NYSE roles around the New York Stock Exchange's infrastructure.

How much does an entry level Nasdaq software engineer make?

An entry-level Nasdaq software engineer typically earns between $70,000 and $100,000 annually, depending on location, education, and skills. Starting salaries may also include bonuses and benefits, with knowledge of programming languages like Python, C++, or Java being advantageous.

What are the most commonly searched types of Nasdaq Software Engineer jobs in Milwaukee, WI?

The most popular types of Nasdaq Software Engineer jobs in Milwaukee, WI are:

What are popular job titles related to Entry Level Nasdaq Software Engineer jobs in Milwaukee, WI?

For Entry Level Nasdaq Software Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Entry Level Nasdaq Software Engineer jobs in Milwaukee, WI look for?

The top searched job categories for Entry Level Nasdaq Software Engineer jobs in Milwaukee, WI are:

Entry Level Nasdaq Software Engineer jobs near you
Infographic showing various Entry Level Nasdaq Software Engineer job openings in Milwaukee, WI as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $103,315 per year, or $49.7 per hour.

Software Engineer - Software Engineer - GPU, C++, OpenCL, CUDA

Waukesha, WI • On-site

Hudson Manpower
See more jobs at Hudson Manpowerexternal

Contractor

Re-posted 11 days ago

Job description

Position: Software Engineer - GPU, C++, OpenCL, CUDA
Location: Waukesha, WI (Onsite)
Exp: 5 - 9 yrs
Key Skills: GPU, C++, OpenCL, CUDA, OneAPI, Matlab
Only USC / GC
Job Requirements
The CT Program is working on upgrading CT scanners used worldwide. The center is currently concentrating on the ongoing enhancement of the next generation of CT machines, including their essential workflows and applications. For that purpose, proficient and experienced resources are required.
Primary Objective:
  1. Leverage proprietary software platform to implement image processing algorithms on GPUs. (C++/OpenCL/CUDA/OneAPI)
  2. Improve image chain performance using heterogeneous high-performance computing (HPC) to meet customer expectations
  3. Ensure quality and compliance of productized code per regulatory expectations

Detailed Requirements:
  1. Productized CT image processing algorithms on GPU, including ported algorithms from Matlab to GPU, or OpenCL to CUDA
  2. Improved image chain & algorithm performance compared to initial benchmarks
  3. Perform GPU profiling, identify algorithm bottlenecks, troubleshoot and resolve performance issues
  4. Improve GPU utilization leveraging heterogenous HPC knowledge.
  5. Perform testing, reliability analysis, performance benchmarks and document results
  6. Execute test procedures with high quality and rigor, following Good Documentation Practices

Work Experience
Skills:
  1. Programming Languages: C++, OpenCL, CUDA, OneAPI
  2. Image Processing Algorithms: Implementation and optimization on GPUs
  3. High-Performance Computing (HPC): Knowledge of heterogeneous HPC
  4. Profiling and Performance Analysis: GPU profiling, identifying bottlenecks, troubleshooting, and resolving performance issues
  5. Testing and Documentation: Performing testing, reliability analysis, performance benchmarks, and documenting results following Good Documentation Practices

Additional Experience:
Productizing Algorithms: Experience in productizing CT image processing algorithms on GPU
Porting Algorithms: Experience in porting algorithms from Matlab to GPU or OpenCL to CUDA
Improving Performance: Proven track record of improving image chain and algorithm performance compared to initial benchmarks
Quality and Compliance: Ensuring quality and compliance of productized code per regulatory expectations
Best regards,
Prasad Kalsekar | Hudson Manpower
Email: prasad@hudsonmanpower.com

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