Develop next-generation NAND error correction and decoding technologies, including LDPC/BCH, hard/soft decoding, and channel/LLR estimation, and evaluate algorithms and architectures optimized for reliability, latency, throughput, power, and area.
Compensation
$173,000.00 - $295,000.00 a year
Responsibilities
Develop ECC strategies and integration solutions, evaluating the impact of BCH, LDPC, and other solutions on area, latency, power consumption, and error correction capabilities.
Analyze NAND channel characteristics. Develop and evaluate advanced error-handling techniques.
Evaluate ECC impact on system-level metrics.
Explore next-generation ECC/data-processing architectures for future NAND and AI/storage products.
Requirements
MS or PhD in Electrical Engineering, Computer Engineering, or related field
Develop next-generation NAND error correction and decoding technologies, including LDPC/BCH, hard/soft decoding, and channel/LLR estimation, and evaluate algorithms and architectures optimized for reliability, latency, throughput, power, and area.
Compensation
$173,000.00 - $295,000.00 a year
Responsibilities
Develop ECC strategies and integration solutions, evaluating the impact of BCH, LDPC, and other solutions on area, latency, power consumption, and error correction capabilities.
Analyze NAND channel characteristics. Develop and evaluate advanced error-handling techniques.
Evaluate ECC impact on system-level metrics.
Explore next-generation ECC/data-processing architectures for future NAND and AI/storage products.
Requirements
MS or PhD in Electrical Engineering, Computer Engineering, or related field
The base pay range for this role is $117,610.00 to $153,146.00. The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.
Responsibilities
Own the Digital Fraud Detection Engineering technical roadmap and establish engineering standards, reference patterns, detection lifecycle practices and detection-as-code methodologies.
Design, build and optimize high-fidelity behavioral, anomaly, rules-based, risk-scoring and correlation detections across cyber, identity, customer and transaction telemetry.
Engineer reusable signals, APIs, enrichment, data pipelines and integrations supporting real-time and batch fraud detection, decisioning and response.
Translate CTI/fraud intelligence, adversary behaviors and attack patterns into detection hypotheses, production detections and proactive fraud threat-hunting activities.
Establish testing, back-testing, validation and deployment practices; monitor precision, recall, false-positive/negative rates, coverage, drift and signal degradation.
Internship in the Research and Development Department focusing on AI and data-driven solutions for Medius' spend management platform.
Compensation
Actual compensation will be determined based on several factors, including but not limited to relevant skills, experience, qualifications, certifications, internal equity, and the geographic location in which the role is performed. Compensation may vary for roles performed in different locations due to differences in the cost of labor. The total compensation package for this position may also include eligibility for variable compensation (such as a performance bonus or commission), benefits, and/or participation in other incentive or benefit plans, in accordance with the terms of the applicable plans. Benefits may include medical, dental, and vision coverage, paid time off, and retirement benefits, subject to eligibility requirements.
Responsibilities
Develop a centralized supplier risk scoring service combining supplier, contractual, delivery, and external risk signals
Migrate mobile REST APIs using AI-assisted engineering and create automated compatibility testing pipelines
Build analytical datasets, benchmarking models, and recommendation engines to improve procurement decisions
Convert natural-language user policies into structured business rules and configuration settings with validation workflows
Automate sourcing workflows from user requests to supplier quote comparison and purchase-order preparation
A hands-on senior engineering role where you’ll solve complex problems, build scalable cloud-based software and have genuine influence over how we design and deliver our products.
Responsibilities
Design and deliver complex, scalable systems, including high-traffic APIs, multi-service integrations and data-processing solutions.
Own large features and components end-to-end, from technical design and development through to deployment and production support.
Build modern applications using C#, .NET Core, ASP.NET Web APIs and contemporary frontend technologies.
Influence architecture and technology decisions, helping the team choose solutions that balance scalability, maintainability and business needs.
Build and improve cloud-native solutions across Azure or AWS.
Owns the technical architecture of the 15below platform, focusing on scaling towards a unified multi-tenant SaaS architecture, AI capability integration, and technical debt reduction.
Responsibilities
Owning the long-term architecture of the platform, setting its technical direction, managing architectural debt, and ensuring it remains scalable and maintainable.
Leading the convergence of existing platforms into a unified, multi-tenant SaaS solution, defining the tenancy model, data isolation, and migration approach.
Defining reusable integration patterns and reference architectures for acquired businesses and new products.
Shaping AI architecture and adoption strategy, making foundational decisions around data, tenant isolation, and inference.
Defining and governing non-functional requirements including security, scalability, resilience, availability, performance, and cost efficiency.
Lead engineering strategy for AI-enabled solutions across the Software Delivery Lifecycle, driving enterprise standards, automation, and developer productivity.
Responsibilities
Develops the engineering approach for the entire program/portfolio solution and works with Architecture, to develop/analyze/deliver the implementation of technical enablers
Leads the planning, definition, and design of the complex features which span multiple teams and explore solution alternatives
Creates ideas on designing complex technology and solution development approaches
Leads the technical oversight for teams in solution development including design reviews and code within own domain
Defines the technology tool stack for the solution within range of internally approved and supported technologies
Requirements
Bachelor’s degree in computer science, Engineering, Information Systems, Applied Mathematics, or a related technical field
Nice to have: Advanced degree in a technical discipline
Nice to have: Senior engineering experience in developer tooling
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