Role Description This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home. Job Family Definition: - Designs, develops, troubleshoots and debugs software programs for software enhancements and new products. - Develops software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools. - Determines hardware compatibility and/or influences hardware design. Management Level Definition: - Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. - Acts as team member by providing information, analysis and recommendations in support of team efforts. - Exercises independent judgment within defined parameters. Responsibilities: - Codes and programs enhancements, updates, and changes for portions and subsystems of systems software, including operating systems, compilers, networking, utilities, databases, and Internet-related tools. - Executes established test plans and protocols for assigned portions of code; identifies, logs, and debugs assigned issues. - Develops understanding of and relationship with internal and outsourced development partners on software systems design and development. - Participates as a member of project team of other software systems engineers and internal and outsourced development partners to develop reliable, cost effective and high quality solutions for low to moderately-complex products. Qualifications - Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent. - Typically 0-2 years experience. Requirements - Experience or understanding of software systems design tools and languages. - Good analytical and problem solving skills. - Understanding of design for software systems running on multiple platform types. - Understanding of basic testing, coding, and debugging procedures. - Good written and verbal communication skills; mastery in English and local language. Benefits - Health & Wellbeing: Comprehensive suite of benefits that supports physical, financial and emotional wellbeing. - Personal & Professional Development: Programs catered to helping you reach any career goals you have. - Unconditional Inclusion: We celebrate individual uniqueness and provide flexibility to manage work and personal needs.

Role Description At Schellman, we see a strong parallel between reliable sustainability data, good governance, and our roots as a technology risk firm that specializes in providing attestations around data, systems, and governance-related subject matter. We are expanding our sustainability assurance practice and need Technical Leads who combine deep greenhouse gas measurement and/or audit expertise with genuine technical capabilities. Technical Leads are primarily responsible for hands-on, technical project execution—spending over half their time working directly in client data lakes and systems environments. You are part auditor, part sustainability subject matter expert, part business intelligence engineer and developer. Experienced Technical Leads have deep specialization in sustainability assurance and data engineering, and are assigned to sustainability projects accordingly. They are assigned to a specific Service Delivery Principal that is responsible for supervising their development. Additionally, Technical Leads' daily activities are closely supervised by the management teams of their assigned projects. Technical Leads may supervise associates and/or senior associates when serving as a member of a project management team. Why This Role Matters Organizations increasingly need to measure, validate, and report their sustainability performance—from greenhouse gas emissions to water usage, waste management, supply chain impacts, and social governance metrics. However, most companies lack the technical infrastructure and expertise to reliably capture this data. That's where you come in. This is a unique role that blends sustainability and greenhouse gas measurement expertise with a technical data analytics and data engineering skillset. You'll be the technical bridge between non-technical sustainability teams and their complex data ecosystems, the technical expert translating what the client needs into what their systems can deliver; helping them build the infrastructure they need to credibly measure and report their sustainability impact. Essential Functions - Work directly in client data lakes and systems environments using AI tools (Claude, etc.), Python, and SQL to build sustainability data infrastructure, automation, and analytics. - Design and build data intake forms, data models, and ETL processes that enable accurate sustainability measurement and assurance processes. - Combine qualitative subject matter expertise with your technical skillset to determine what to build and how. - Conduct data discovery, analysis, and quality assessment to identify gaps, inconsistencies, and optimization opportunities in client sustainability data systems. - Build sustainability assurance analytics and automation—including variance analysis, emissions calculations, data reconciliation, spend-to-emissions mapping, and anomaly detection. - Evaluate client systems for data integration, automation, and optimization; recommend technical improvements to enhance sustainability data reliability and controls. - Develop sustainability-specific testing procedures and controls documentation that translate sustainability reporting requirements into technical implementations. - Act as a technical expert for non-technical client teams, explaining data architecture, system integration, and data governance concepts in accessible terms. - Execute assigned testing procedures, perform detailed analysis of sustainability data and systems, and document findings per professional audit standards. - Establish high-quality relationships and rapport with client personnel—both technical and non-technical stakeholders. - Complete assigned duties in a timely manner with strong attention to detail and audit integrity. - Develop an expert knowledge of sustainability reporting frameworks (SASB, IIRC, TCFD, GRI) and professional standards relevant to sustainability assurance. - Contribute to Schellman's thought leadership through articles, webinars, and public speaking on sustainability data, technology, and assurance practices. - Adhere to professional and regulatory standards relevant to sustainability assurance and audit practices. - Promote Schellman's company culture and exemplify Schellman's values. - Comply with Schellman's code of ethics and professional conduct, methodologies, policies, and procedures. - Train and acclimate project team members to Schellman's methodologies and best practices. Knowledge, Skills, and Abilities - Strong proficiency in Python, SQL, or similar languages for data manipulation and automation; ability to write, implement, and debug code independently. - Experience with data engineering, ETL processes, data modeling, and working in cloud-based data environments (data lakes, data warehouses). - Deep knowledge of sustainability reporting frameworks (SASB, IIRC, TCFD, GRI) and how they translate to technical data and system requirements. - Strong experience providing assurance and audit services related to sustainability and non-financial reporting on environmental and social metrics. - Expertise in business intelligence, analytics, and data visualization; ability to use tools and code to identify patterns and anomalies in large datasets. - Ability to understand complex data systems, evaluate data quality, and recommend technical solutions to sustainability measurement challenges. - Excellent written and verbal communication skills with the ability to explain technical concepts to non-technical audiences. - Superior time management, self-motivation, and proactivity with the ability to manage multiple technical projects and priorities. - Ability to work independently in technical environments, collaboratively within teams, and effectively with diverse client stakeholders. - Strong problem-solving, analytical, and debugging capabilities with meticulous attention to data accuracy and detail. - Familiarity with AI-assisted development tools and comfort learning new technical platforms and languages quickly. - Ability to work in a fast-paced, challenging environment and thrive in continuous learning situations. Education, Work Experience and Certifications - Required: Bachelor's degree in Accounting, Finance, Computer Science, Data Science, or related field. - 3-5+ years of professional services experience in controls auditing, assessment, or compliance with a focus on non-financial reporting and sustainability. - Demonstrated proficiency in at least one programming or scripting language (Python, SQL, etc.). - Solid understanding of data engineering concepts, including data modeling, ETL processes, and data quality assessment. - Experience evaluating information technology systems, data processes, and controls. - Knowledge of sustainability reporting frameworks (SASB, IIRC, TCFD, GRI) and how they translate to technical and system requirements. - Preferred: Licensed CPA with demonstrated technical and data engineering skills. - Experience with cloud data platforms (AWS, Google Cloud, Azure, Snowflake, etc.). - Experience with business intelligence or analytics tools (Tableau, Power BI, Looker, etc.). - Background in sustainability accounting, carbon accounting, or environmental data measurement. - Familiarity with AI-assisted code development tools and LLM-based development. - Experience with data visualization and creating technical documentation for non-technical audiences. - Experience managing or mentoring technical team members.

Role Description Delek US Holdings, Inc. is hiring for the position of Alkylation Technology SME with the potential for site or remote work. - Serve as the corporate Subject Matter Expert (SME) for HF and sulfuric acid alkylation technology, providing technical leadership and support across all refining assets. - Develop, maintain, and monitor unit performance indicators, benchmarking metrics, and technology health dashboards to identify performance gaps, reliability risks, and improvement opportunities. - Serve as the corporate steward and technical authority for HF and sulfuric acid alkylation process safety standards, engineering best practices, and risk management strategies. - Own and maintain corporate alkylation technology standards, operating envelopes, critical process parameter guidance, and lessons-learned documentation to ensure consistent execution across all refining assets. - Provide technical consultation and troubleshooting support to refinery process engineers, production teams, and operations personnel on unit performance, process optimization, operating issues, and process safety concerns. - Lead efforts to improve alkylation unit safety, reliability, environmental performance, and economic optimization through application of industry best practices and sound engineering principles. - Develop, maintain, monitor, and benchmark key alkylation performance indicators, including process safety, reliability, acid consumption, alkylate quality, equipment performance, and unit energy intensity. - Mentor and develop refinery process engineers, technical supervisors, and operations leaders through coaching, technical training, and knowledge-sharing initiatives. - Develop and maintain corporate standards, best practices, engineering guidelines, and operating philosophies related to alkylation technology. - Lead the refinery alkylation best-practice network and facilitate periodic technology collaboration meetings, including agenda development, action tracking, knowledge sharing, and deployment of lessons learned. - Coordinate and lead annual technology health assessments for alkylation units, including performance reviews, gap identification, risk assessment, and improvement plan development. - Evaluate emerging technologies, licensor developments, catalyst advancements, process improvements, and industry trends to identify opportunities for business improvement and competitive advantage. - Maintain active engagement with technology licensors, catalyst suppliers, engineering consultants, industry organizations, and peer networks to ensure awareness and application of current industry best practices and technological advancements. - Support process studies and technology evaluations focused on yield improvement, energy efficiency, asset utilization, environmental compliance, process safety, and profitability enhancement. - Provide technical leadership during unit startups, shutdowns, major operating events, turnarounds, commissioning activities, and post-startup performance stabilization efforts. - Participate in and provide technical leadership for process hazard analyses (PHA), layer of protection analyses (LOPA), management of change (MOC) reviews, pre-startup safety reviews (PSSR), and other process safety management activities impacting alkylation units. - Serve as the technical authority for alkylation-related management of change reviews, significant process deviations, operating envelope exceedances, and major technology recommendations. - Lead or participate in incident investigations and root cause failure analyses involving process safety events, reliability incidents, environmental events, and production losses. Partner with reliability, maintenance, and operations personnel to identify corrective actions, capture lessons learned, and prevent recurrence. - Own and facilitate the development, maintenance, and deployment of alkylation-specific training materials, operating guidance, and competency development programs. - Support capital project development through concept evaluation, technology selection, design review, risk assessment, process design package review, and startup readiness activities. - Provide periodic updates and recommendations to refinery and corporate leadership regarding technology risks, constraints, performance gaps, improvement opportunities, and long-range strategic initiatives. - Exercise broad technical judgment and independent decision-making to resolve complex technical issues and influence business outcomes across multiple facilities. - Support other refining process technologies and business initiatives as required based on organizational needs, individual expertise, and business priorities. Qualifications - Bachelor's degree in Chemical Engineering. - 15+ years refining experience. - 10+ years supporting alkylation technology. - Expertise in operation, optimization, troubleshooting, and performance improvement of HF and sulfuric acid alkylation units. - Knowledge of alkylation reaction chemistry and process fundamentals. - Proficiency with HYSYS and applicable process modeling software. - Experience with startups, shutdowns, and turnarounds. - Strong troubleshooting and root cause analysis skills. - Knowledge of process safety management principles and regulatory requirements. - Familiarity with staged-gate project development processes. Requirements - Experience with both HF and sulfuric acid alkylation technologies. - Experience leading or participating in PHAs, LOPAs, MOCs, and PSSRs. - Experience developing corporate standards and best practices. - Experience serving as a corporate or multi-site technology resource. - Experience with technology-specific modeling software. - Participation in industry committees, licensor forums, or professional organizations. - Professional Engineer (PE) license. Benefits - Up to a 10% match on 401K on your hire start, with a vesting timeline of only one year. - Medical benefits that start on day one with a 30% premium rebate annually. - Access to the Calm app for FREE, used for meditation, stress management, and better sleep. - Performance management program that allows you to earn additional annual incentives. - Pay for performance culture with some of the highest bonus payouts in recent years. - Opportunity to make an impact and grow your career in a supportive and innovative environment.

Role Description NVIDIA seeks a Senior Software Engineer specializing in Deep Learning Inference for our growing team. As a key contributor, you will help design, build, and optimize the GPU-accelerated software that powers today’s most sophisticated AI applications. Our team is responsible for developing and maintaining high-performance open-source frameworks, which are at the forefront of efficient large-scale model serving and inference. You will play a central role in improving these platforms, facilitating smooth deployment and serving of groundbreaking language models. You’ll work closely with the deep learning community to implement the latest algorithms for public release in inference frameworks. Your work will focus on identifying and driving performance improvements for state-of-the-art LLM and Generative AI models across NVIDIA accelerators, from datacenter GPUs to edge SoCs. You'll bring to bear open-source tools and plugins—including CUTLASS, OAI Triton, NCCL, and CUDA kernels—to implement and optimize model serving pipelines. What you'll be doing: - Performance optimization, analysis, and tuning of DL models in various domains like LLM, Multimodal and Generative AI. - Scale performance of DL models across different architectures and types of NVIDIA accelerators. - Contribute features and code to NVIDIA’s inference libraries, vLLM and SGLang, FlashInfer and LLM software solutions. - Work with cross-collaborative teams across frameworks, NVIDIA libraries and inference optimization innovative solutions. Qualifications - Masters or PhD or equivalent experience in relevant field (Computer Engineering, Computer Science, EECS, AI). - 5+ years of relevant software development experience. - Excellent C/C++ programming and software design skills. - SW Agile skills are helpful and Python experience is a plus. - Prior experience with training, deploying or optimizing the inference of DL models in production is a plus. - Prior background with performance modeling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU is a plus. - GPU programming experience (CUDA, OAI TRITON or CUTLASS) is a plus. Requirements - Contribute to deep learning software projects, such as PyTorch, vLLM, and SGLang to drive advancements in the field. - Experience with Multi GPU Communications (NCCL, NVSHMEM). Benefits - Highly competitive salaries. - Comprehensive benefits package. - Base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. - Eligible for equity.