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Computer Vision Engineer Jobs in Mississippi (NOW HIRING)

Collaborate with design engineers, manufacturing engineers, suppliers, and quality teams to ensure ... Available benefits include medical, dental, vision & 401k. About Us Rehlkoproudly offers a rich ...

AI Solution Architect

Hattiesburg, MS · On-site +1

$62.50 - $82.25/hr

Document Intelligence, Language Understanding, and Computer Vision * Azure AI Search: Vector search, semantic search, and knowledge mining * Azure Databricks: Data engineering and ML model ...

25- 26: Computer Science Teacher

Jackson, MS · On-site

$39K - $54K/yr

If you're ready to build the next generation of creators, problem-solvers, and engineers, we want ... Comprehensive benefits package, including medical, dental, vision, mental health days, and family ...

Overview Utilize established techniques, standards, and tools like computer-aided drafting software ... Required to use close vision and be able to focus. * Regularly required to talk and hear ...

Overview Utilize established techniques, standards, and tools like computer-aided drafting software ... Required to use close vision and be able to focus. * Regularly required to talk and hear ...

Computer vision * Natural language processing * Cloud computing platforms (AWS, Azure, GCP) * Big ... Knowledge of: * Data engineering principles * MLOps practices * Distributed computing * High ...

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Showing results 1-20

Computer Vision Engineer information

See Mississippi salary details

$45.9K

$115.1K

$130.2K

How much do computer vision engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for computer vision engineer in Mississippi is $115,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $124,500.00 per year, depending on experience, location, and employer.

What do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

What engineers make $300,000 a year?

Senior computer vision engineers, especially those with advanced skills in deep learning, machine learning, and experience with tools like TensorFlow or PyTorch, can earn $300,000 or more annually in high-demand industries such as technology, autonomous vehicles, or AI research. Compensation often depends on experience, location, and company size, with some roles in Silicon Valley or major tech firms reaching this level through base salary, bonuses, and stock options.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the key skills and qualifications needed to thrive as a Computer Vision Engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What engineer makes $500,000 a year?

A senior computer vision engineer at top tech companies or in specialized industries can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and years of experience. Compensation varies based on location, company size, and individual expertise.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers are essential for developing, training, and maintaining AI models and systems. Their expertise in algorithms, programming, and domain knowledge ensures the effective application of AI in real-world scenarios, making complete replacement unlikely in the near term.
What are the most commonly searched types of Computer Vision Engineer jobs in Mississippi? The most popular types of Computer Vision Engineer jobs in Mississippi are:
What are popular job titles related to Computer Vision Engineer jobs in Mississippi? For Computer Vision Engineer jobs in Mississippi, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Mississippi look for? The top searched job categories for Computer Vision Engineer jobs in Mississippi are:
Infographic showing various Computer Vision Engineer job openings in Mississippi as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $115,083 per year, or $55.3 per hour.
Computer Infrastructure Engineer (HII) Onsite

Computer Infrastructure Engineer (HII) Onsite

Raytheon Technologies

Pascagoula, MS • On-site

$107K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

Date Posted:
2026-06-30
Country:
United States of America
Location:
US-MS-PASCAGOULA-1000-CUST ~ 1000 Access Rd ~ ACCESS (External Site)
Position Role Type:
Onsite
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Security Clearance Type:
Secret - Current
Security Clearance Status:
Active and existing security clearance required on day 1
At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world.
Raytheon's Systems Engineering and Test Capabilities (SE&TC) Surface Radars & Sensors Center is seeking a Computer Infrastructure Engineer within Systems Engineering and will play a vital part in shaping the future of advanced military radar systems. In this role, you'll manage and maintain physical network hardware and software configurations to support cutting-edge testing and integration processes for classified technologies. You'll leverage your strong understanding of networking principles and specifications, along with advanced skills in Linux operating system administration, to ensure seamless and secure operation of critical systems. This is your opportunity to work on impactful projects that contribute to national defense while expanding your expertise in a challenging and rewarding environment.
What You Will Do
  • Administer and maintain systems supporting the SPY-6 radar family, ensuring optimal performance and availability.
  • Perform system troubleshooting and resolve hardware, software, and network issues as they arise and collaborate with cross-functional teams to do so.
  • Conduct regular system monitoring, patch management, and performance tuning.
  • Maintain and configure Red Hat Enterprise Linux systems.
  • Implement and maintain system security measures in accordance with DoD standards and protocols.
  • Support network configurations, including IP address management, VLAN configurations, SAN and Layer 3 Switches management.
  • Create and maintain documentation for system configurations, processes, and troubleshooting guides.
  • Must be able to Obtain and maintain a TOP SECRET security clearance.
  • This role is onsite at HII shipyard in Pascagoula, MS.

Qualifications You Must Have
  • Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 2 years of prior relevant experience.
  • AT Level I Certification (e.g., CompTIA A+, Network+, CCNA, Security+, etc.)
  • Experience in Red Hat Enterprise Linux (RHEL).
  • Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain and maintain program access. Top Secret after start.

Qualifications We Prefer
  • Strong understanding of networking concepts, routing protocols, and troubleshooting (e.g., OSPF, BGP, DNS, VLANs).
  • Experience working in a Department of Defense (DoD) or military environment.
  • Knowledge of virtualization technologies (e.g., VMware, KVM).
  • Experience with configuring and managing firewalls and intrusion detection systems.
  • Experience with PowerShell, Bash and/or Python scripting.

What We Offer
  • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.

  • Relocation Eligible - Relocation assistance available

Learn More & Apply Now!
  • Please consider the following role type definition as you apply for this role.
  • Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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