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Senior Linux Kernel Engineer Jobs in Georgia (NOW HIRING)

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton ...

MANTECH

Senior Software Developer

Augusta, GA · On-site

$43 - $56.75/hr

MANTECH is seeking a motivated and customer-oriented Senior Software Developer to join their team ... Linux internals, kernel-level concepts, and advanced networking. • Experience identifying ...

Actalent

Firmware Test Engineer

Alpharetta, GA

$100K - $145K/yr

Skills Firmware, test engineering, wireless, networking protocols, linux, tcp ip, ipv4, ipv6 ... Hands-on experience testing embedded Linux systems in both user space and kernel space. * Proven ...

ManTech

Senior Software Developer

Augusta, GA · On-site

$51.25 - $67.75/hr

MANTECH seeks a motivated, career and customer-oriented Senior Software Developer to join our team ... Knowledge of Linux environments, including Linux internals, kernel-level concepts, and advanced ...

ManTech International

Senior Software Developer

Augusta, GA · On-site

$51.25 - $67.75/hr

MANTECH seeks a motivated, career and customer-oriented Senior Software Developer to join our team ... Knowledge of Linux environments, including Linux internals, kernel-level concepts, and advanced ...

Stable Kernel

Principal Project Manager

Atlanta, GA · On-site

Stable Kernel is a technology services firm and custom software developer building scalable ... Leads stakeholder navigation across the full program, managing relationships with senior client ...

Stable Kernel

Principal Project Manager

Atlanta, GA · On-site

Stable Kernel is a technology services firm and custom software developer building scalable ... Leads stakeholder navigation across the full program, managing relationships with senior client ...

Visionaire Partners

Senior SCADA Engineer

Sandy Springs, GA · On-site

$103K - $142K/yr

Senior Operational SCADA/EMS Engineer Are you a high-performing OT engineer ready to lead mission ... Oversee enterprise Linux environments and virtualized server infrastructure, managing performance ...

Comtech Inc

Software Engineer

Atlanta, GA · Hybrid

Develop and maintain kernel and user-level software and scripts * Contribute to technical reports ... Git * Proficiency in developing on/for Windows and Linux operating systems * Strong verbal and ...

Fiserv, Inc.

Principal Linux Architect

Alpharetta, GA · On-site

Job Title Principal Linux Architect About your role: Fiserv is seeking a highly experienced ... Mentor senior engineers, architects, and technical leaders across the organization. * Evaluate ...

Monitise

Principal Linux Architect

Alpharetta, GA · On-site

Job Title Principal Linux Architect About your role: Fiserv is seeking a highly experienced ... Mentor senior engineers, architects, and technical leaders across the organization. * Evaluate ...

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Senior Linux Kernel Engineer information

What is the difference between Senior Linux Kernel Engineer vs Linux Device Driver Developer?

AspectSenior Linux Kernel EngineerLinux Device Driver Developer
Required CredentialsBachelor's/Master's in Computer Science, Linux kernel certificationsBachelor's in Computer Science, Linux kernel or driver development courses
Work EnvironmentResearch and development, kernel development teamsHardware integration, driver development teams
Industry UsageOperating system development, embedded systemsHardware manufacturers, embedded systems, IoT devices
Common Search/ComparisonYesYes

The Senior Linux Kernel Engineer focuses on designing, developing, and optimizing the Linux kernel itself, often working on core system functionalities. In contrast, a Linux Device Driver Developer specializes in creating and maintaining drivers that enable hardware components to communicate with the Linux kernel. While both roles require deep Linux kernel knowledge and similar credentials, their work environments and focus areas differ. The senior engineer works on kernel internals, whereas the driver developer concentrates on hardware integration.

Are senior Linux kernel engineers in demand?

Senior Linux kernel engineers are in high demand due to the critical role of Linux in servers, cloud infrastructure, and embedded systems. Their expertise in kernel development, performance tuning, and security is sought after across various industries, often requiring strong programming skills and knowledge of system architecture.

What are popular job titles related to Senior Linux Kernel Engineer jobs in Georgia?

For Senior Linux Kernel Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Senior Linux Kernel Engineer jobs in Georgia look for?

The top searched job categories for Senior Linux Kernel Engineer jobs in Georgia are:

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Cities in Georgia with the most Senior Linux Kernel Engineer job openings:

Senior Linux Kernel Engineer jobs near you

Senior Machine Learning Engineer

Career Renew

Atlanta, GA • Remote

$165K - $225K/yr

Full-time

Re-posted 27 days ago

Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.
We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.
Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.

About the Role

We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows.
Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications
Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements
Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks
Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges
Explore image representation in latent space for efficient, high-fidelity virtual staining
Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap

Collaboration
Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures
Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems
Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines
Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches

Required Qualifications

PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field
Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising
Expert proficiency in Python and PyTorch and other scientific computing environments a plus
Strong mathematical foundation in linear algebra, probability, and optimization
Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure)
Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles
Experience with feature search, data balancing, and data curation pipelines.
Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines
Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment
Extensive use of AI tools for coding, optimization, and ideation

Preferred Qualifications

Experience with medical imaging, digital pathology, or whole slide image (WSI) processing
Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem
Background in generative models and fine-tuning of foundation models
Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton
Experience with hosting computer vision model inference on NVIDIA DGX Spark.
Understanding of FDA regulatory requirements for AI/ML in medical devices
Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices
Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility

What We Offer

The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.