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Associate Software Engineer Jobs in Charleston, WV

LTS

Senior Applied AI Engineer

Charleston, WV · Remote

$113K - $149K/yr

We don't simply build AI-powered software--we build software with AI. This is not another chatbot ... Knowledge Engineer * Collaborate with software engineers to improve knowledge ingestion, document ...

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All JobsAssociate Software Engineer JobsAssociate Software Engineer Jobs in Charleston, WV

Associate Software Engineer information

See Charleston, WV salary details

$18

$41

$95

How much do associate software engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for associate software engineer in Charleston, WV is $41.04, according to ZipRecruiter salary data. Most workers in this role earn between $29.66 and $43.46 per hour, depending on experience, location, and employer.

What is an associate software engineer?

An associate software engineer works with a team of engineering professionals and developers to improve existing software or design new applications. As an associate software engineer, your job duties include coding software, coordinating with hardware engineers to ensure that different types of technology can run the software, and helping the QA team to test software before release. Typical qualifications for the career include a bachelor’s degree in computer science, engineering, or a related field and relevant technical experience with software applications. You also need excellent communication, coding, and analytical problem-solving skills, as well as the ability to work as part of a team.

What are some common challenges faced by associate software engineers when transitioning from academic projects to real-world development teams?

Associate Software Engineers often encounter challenges such as adapting to larger, more complex codebases and learning to work within established development workflows. Unlike academic projects, real-world development involves collaboration with cross-functional teams, adhering to coding standards, and following agile processes. Additionally, balancing learning new technologies with delivering features on tight deadlines can be demanding. However, support from mentors and structured onboarding programs usually helps smooth this transition.

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

To thrive as an Associate Software Engineer, you need a solid understanding of programming fundamentals, algorithms, and data structures, typically supported by a degree in computer science or a related field. Familiarity with programming languages like Java, Python, or C++, as well as experience using version control systems like Git, are commonly required. Strong problem-solving skills, teamwork, and effective communication set standout candidates apart. These skills and qualities are crucial for delivering reliable software solutions, collaborating within development teams, and adapting to rapidly evolving technologies.
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Associate Software Engineer jobs near you
Infographic showing various Associate Software Engineer job openings in Charleston, WV as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $85,367 per year, or $41 per hour.

Senior/Staff Software Engineer, ML Performance Optimization

Zoox

Charleston, WV

$242K - $389K/yr

Full-time

Re-posted 5 days ago

Job description

Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in large-scale Foundation models, VLMs, and VLAs to make autonomous driving as seamless as possible. 
 
The Opportunity
Are you excited to drive our ML Performance Optimization initiatives and make our ML models that enable autonomous driving as fast and efficient as possible? You will get to work with SOTA accelerators, cutting-edge techniques in distributed training, quantization, distillation, and pruning, among other things, working closely with all the Autonomy teams within Zoox - Perception, Prediction, Planner, Simulation, Collision Avoidance, and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox.
 
We build and operate the base layer of ML tools, model development, and serving systems that our applied research teams use for in- and off-vehicle ML use cases. You will work alongside a team of strong software engineers and act as a force multiplier for our internal customers. This team has many growth opportunities as we expand our robotaxi deployments and venture into new ML domains. If you want to learn more about our stack behind autonomous driving, please look here. If you want to learn more about our ML Infrastructure, here is one of our past talks at re:Invent.
In this role, you will:
  • Develop and execute a strategic vision for the ML Performance Optimization team to unlock ML innovation in autonomous driving and rider experience. 
  • Lead the design, implementation, and operation of cutting-edge ML Training OR Inference performance optimization techniques to scale our VLM, VLA, and Foundational models and deploy them efficiently in our robotaxi.
  • Collaborate closely with x-functional teams, including ML researchers, software engineers, data engineers, and hardware engineers, to define requirements and align on architectural decisions.
  • Enable the engineers in the team to grow their careers by providing technical guidance and mentorship.
Qualifications

Note: You do not have to meet all the requirements below to be considered for this position:

  • Strong experience with training frameworks like PyTorch, leveraging GPUs efficiently for distributed model training.
  • Experience with GPU-accelerated inference using TensorRT or similar frameworks.
  • Experience using profiling tools like NVIDIA's Nsight or PyTorch's Profiler for identifying model training and serving bottlenecks.
  • Proficient in Python and C++
  • Experience with model compression techniques to reduce model size and improve performance.
Bonus Qualifications
  • 10+ years of total experience, including 4+ years of working on large-scale model training or inference platforms.
  • Excellent leadership skills with a demonstrated ability to lead high-performing engineering teams.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.