Join us in empowering everyone to create.

SAP SD / S4HANA Logistics Implementation and Configuration:

o Lead the design, implementation, and optimization of SAP SD/Logistics modules

o Conduct thorough analysis of business requirements and configure the SAP system accordingly to meet business needs.

o Oversee integration between SAP SD/LOGISTICS and other SAP modules (e.g., MM, SD, RAR, FSCM and external systems).

2. Team Leadership:

o Lead and mentor a team of SAP SD/Logistics consultants and non SAP consultants.

o Coordinate and support team efforts to resolve system issues, implement improvements, and ensure timely deliverables

o Provide guidance on best practices and solutions to complex issues.

3. System Maintenance and Support:

o Monitor and maintain the integrity of the SAP systems and applications.

o Provide ongoing system support, including troubleshooting and resolving issues in a timely manner.

o Ensure system enhancements and changes align with business goals and objectives.

o Participate period, Quarter and year end closures

4. Process Optimization:

o Work closely with business process owners to identify opportunities for process improvement and system enhancements.

o Collaborate with cross-functional teams to ensure SAP SD/LOGISTICS processes are integrated and optimized across the organization.

o Support end-users by providing training, documentation, and troubleshooting assistance.

5. Project Management:

o Lead or participate in SAP SD/LOGISTICS – related tasks & metrics

o Ensure that KPIs are met and deliverables are achieved on time and with good CSAT.

6. Stakeholder Collaboration:

o Liaise with business stakeholders to understand requirements and propose SAP-based solutions.

o Communicate regularly with management regarding project status, issues, and progress.

o Support the implementation of SAP SD/LOGISTICS best practices across the organization.

o Maintain healthy relations with business, internal & external teams.

7. Compliance and Reporting:

o Ensure compliance with audit regulations and internal controls.

o Work closely with team in preparing audit related documentation and reports.

o Ensure that SAP SD/LOGISTICS processes are aligned with corporate governance standards while delivering solutions

Required Skills and Qualifications:

· Education: Masters or Bachelor’s degree in in relevant domain. Relevant certifications (e.g., SAP SD/ S4HANA LOGISTICS) are a plus.

· Experience:

o Minimum 10+ years of experience in SAP SD/ S4HANA LOGISTICS with at least 3-4 years in a lead role.

o Strong understanding of business processes and SAP integration with other modules (MM, FICO, & 3rd party system, etc.).

o Proven experience in leading SAP SD/ S4HANA LOGISTICS implementations and/or Support projects.

o Experience in managing a team of SAP consultants and/or non SAP consultants

o settings, report generation, and troubleshooting.

o Debug knowledge is an added advantage.

· Technical Skills:

o In-depth knowledge of SAP SD/ S4HANA LOGISTICS configuration and functionalities.

o Experience with SAP Fiori, RAR, EDI, Group reporting or other reporting tools is must.

o Strong understanding of accounting principles and financial reporting.

· Project Management:

o Proven experience in managing and delivering SAP projects.

o Familiarity with project management methodologies

· Soft Skills:

o Excellent communication and interpersonal skills.

o Strong problem-solving abilities and attention to detail.

o Ability to work under pressure and handle multiple priorities.

o Leadership skills and the ability to work collaboratively with cross-functional teams.

o Strong business acumen and the ability to understand business requirements and translate them into technical solutions.

Preferred Qualifications:

· Strong SAP S/4HANA experience.

· Experience with global SAP SD/ LOGISTICS implementations or support across multiple regions.

· Exposure to industry-specific SAP SD/ LOGISTICS solutions (e.g., manufacturing, retail, services etc.,).

About Lunaro

Lunaro empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Lunaro industry-leading offerings including Lunaro, Lunaro Express, Lunaro Firefly, Creative Cloud, Lunaro Experience Platform, Lunaro Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Lunaro, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

The Opportunity

The Research Engineering & Design Lab within Lunaro Research is looking for a Research Engineer with a passion for the unique challenges involved in the development of high-performance ML models, with a particular focus on optimizing the resource consumption of large-scale generative models, including for cloud and on-device deployment. Join our efforts to turn cutting-edge research into new products and features in web, desktop and mobile applications, and expand what’s possible in tools for creative expression.

What you’ll Do

Research, you will work closely with both scientists and engineers to ensure that new technologies being developed for generative AI models, image processing, audio, video, animation, 3D and vector graphics will run efficiently in-cloud and on a variety of platforms. You’ll help adapt models and algorithms to the limitations of different systems and devices. You will have the opportunity to:

• Play a key collaborative role in ambitious research projects
• Be valued as a specialist in your domain of expertise
• Build innovative tool that enables users to explore their creative potential
• Contribute to existing tools as well as completely new applications
• Impact products that are used by tens of millions of people
• Learn from your peers and grow into new opportunities

What you need to succeed

• Passion for model optimization/compression and high-performance computing
• Solid deep learning skills, including practical experience in computer vision/natural language processing
• Knowledgeable about the current state of the art in ML efficiency
• Experience in improving the efficiency of mid- to large-scale ML models
• Software engineering expertise
• Proficiency with Python and ML libraries like PyTorch, TensorFlow, JAX, or similar
• Strong communication and collaboration skills
• Ph.D. /Master’s degree in Computer Science or a related field, or 3 years of industry experience

Additional Desirable Qualifications

• Knowledge of state-of-the-art machine learning methods for large scale multimodal models
• Experience on diffusion model optimization, neural network pruning/knowledge distillation/quantization/architecture search, sub-quadratic attention optimization, efficient architecture design and on-device ML
• Experience with sparse mixture of experts and related techniques
• Experience running ML models within a deployment environment (using TensorRT, AITemplate, CoreML, WinML, TensorFlow Lite, ONNXRuntime or similar)
• Hands-on experience in designing ML models between different platforms (Cloud, mobile, in-browser, etc.)
• Knowledge of design techniques for mobile-friendly ML models
• Proficiency with C++

About Lunaro

empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact.we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 — $238,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In Washington, the pay range for this position is $146,300 – $211,850

for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.  Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Lunaro will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.