Project Head Jobs

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Our Senior Software Engineers lead and mentor engineers, delivering high-value products for our customers and infrastructure that enables our business to scale. As a Senior Software Engineer, you'll be responsible for setting technical direction to enable our product and infrastructure to scale with our business, driving complex projects across our technical stack, and mentoring our talented engineering team. Your past experience will be leveraged to enable and accelerate Vanta's growth. Our business has found incredible product-market fit and has monetized effectively since the day we signed our first customer. We're growing at a blistering pace, which presents career-defining opportunities for engineers to accelerate their growth and to contribute to a rapidly-scaling company. Visit our Vanta Engineering Blog to learn more about what our team is working on! The Authoring Experience team owns how Vanta tests are authored and deployed to customers, from the APIs and services underneath to the experiences built on top. As a Senior Backend Engineer on this team, you will own the services and public-facing customer APIs that turn Vanta's automation platform into products customers touch directly, stitching together systems across the platform to serve them well. What you’ll do as a Senior Fullstack Software Engineer at Vanta: Own the architecture and rollout strategy for critical platform services, from initial design through large-scale rollout and migration. Set the technical bar for how we design, publish, and maintain customer-facing APIs while owning things like security, reliability, and developer experience. Stitch together

The National Solutions Business Area at Leidos currently has an opening for a cleared cartographic analyst to support our customer in Springfield Virginia. This is an exciting opportunity to use your experience in GIS analysis to support a dynamic national security customer. The successful candidate will work as a member of a government-contractor team providing cartographic production and analysis. The candidate should have a strong geospatial background and the ability to work independently as well as collaborate on projects. This position may be able to be supported partially as a telework position. Position requires a current TS/SCI and willingness to obtain a CI Polygraph. Primary Responsibilities The Cartographic Analyst will work within a government/contractor team environment providing Electronic Nautical Chart Conversion, Production and Review as well as provide support to existing and developing mission areas. Future needs and capabilities, as well as developmental assignments, are included. This may include Digital Nautical Chart and or Electronic Nautical Chart Conversion production by performing Cartographic and GIS analyst functions, Extracting features from a variety of sources including but not necessarily limited to rasterized nautical charts, digital hydrographic survey data and ortho-rectified imagery Updating source and source catalogs and information Data Conversion/migration Basic Qualifications Minimum of a High Scheel Degree Five years of relevant experience (military or full time geospatial professional work) Or, High School and 4 years + GPC level I and II, or relevant Bachelor’s degree + 2 years’ experience Experience in geography, cartography and Geographic Information Systems (GIS) which includes skill in ArcGIS applications Experience in creating shapefiles, geo-databases, an

The National Solutions Business Area at Leidos currently has an opening for a cleared cartographic analyst to support our customer in Springfield Virginia. This is an exciting opportunity to use your experience in GIS analysis to support a dynamic national security customer. The successful candidate will work as a member of a government-contractor team providing cartographic production and analysis. The candidate should have a strong geospatial background and the ability to work independently as well as collaborate on projects. Position requires a current TS/SCI and willingness to obtain a CI Polygraph. Primary Responsibilities The Cartographic Analyst will work within a government/contractor team environment providing Electronic Nautical Chart Conversion, Production and Review as well as provide support to existing and developing mission areas. Future needs and capabilities, as well as developmental assignments, are included. This may include Digital Nautical Chart and or Electronic Nautical Chart Conversion production by performing Cartographic and GIS analyst functions, Extracting features from a variety of sources including but not necessarily limited to rasterized nautical charts, digital hydrographic survey data and ortho-rectified imagery Updating source and source catalogs and information Data Conversion/migration Basic Qualifications Minimum of a High Scheel Degree Five years of relevant experience (military or full time geospatial professional work) Or, High School and 4 years + GPC level I and II, or relevant Bachelor’s degree + 2 years’ experience Experience in geography, cartography and Geographic Information Systems (GIS) which includes skill in ArcGIS applications Experience in creating shapefiles, geo-databases, and features Knowledge of digital cartography, image processing,

Starting Hourly Rate / Salario por Hora Inicial: $20.00 USD per hour ALL ABOUT TARGET Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. ALL ABOUT ASSETS PROTECTION Assets Protection ( AP ) teams function to keep our guests, team and brand secure and lead through crisis events. They protect profitable sales by mitigating shortage risks, preventing, and resolving theft and fraud to ensure product is available for our guest . They also build relationships inside and outside of Target , including store leaders and public safety officials, inclusive of law enforcement. At Target , we believe in our team members having meaningful experiences that help them build and develop skills for a career. The role of a Target Security Specialist can provide you with the skills and experience of : <sp

Starting Hourly Rate / Salario por Hora Inicial: $21.00 USD per hour ALL ABOUT TARGET Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. ALL ABOUT ASSETS PROTECTION Assets Protection ( AP ) teams function to keep our guests, team and brand secure and lead through crisis events. They protect profitable sales by mitigating shortage risks, preventing, and resolving theft and fraud to ensure product is available for our guest . They also build relationships inside and outside of Target , including store leaders and public safety officials, inclusive of law enforcement. At Target , we believe in our team members having meaningful experiences that help them build and develop skills for a career. The role of a Target Security Specialist can provide you with the skills and experience of : <sp

Starting Hourly Rate / Salario por Hora Inicial: $20.00 USD per hour ALL ABOUT TARGET Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. ALL ABOUT ASSETS PROTECTION Assets Protection ( AP ) teams function to keep our guests, team and brand secure and lead through crisis events. They protect profitable sales by mitigating shortage risks, preventing, and resolving theft and fraud to ensure product is available for our guest . They also build relationships inside and outside of Target , including store leaders and public safety officials, inclusive of law enforcement. At Target , we believe in our team members having meaningful experiences that help them build and develop skills for a career. The role of a Target Security Specialist can provide you with the skills and experience of : <sp

Starting Hourly Rate / Salario por Hora Inicial: $21.25 USD per hour ALL ABOUT TARGET Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. ALL ABOUT ASSETS PROTECTION Assets Protection ( AP ) teams function to keep our guests, team and brand secure and lead through crisis events. They protect profitable sales by mitigating shortage risks, preventing, and resolving theft and fraud to ensure product is available for our guest . They also build relationships inside and outside of Target , including store leaders and public safety officials, inclusive of law enforcement. At Target , we believe in our team members having meaningful experiences that help them build and develop skills for a career. The role of a Target Security Specialist can provide you with the skills and experience of : <sp

Starting Hourly Rate / Salario por Hora Inicial: $18.25 USD per hour ALL ABOUT TARGET Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. ALL ABOUT ASSETS PROTECTION Assets Protection ( AP ) teams function to keep our guests, team and brand secure and lead through crisis events. They protect profitable sales by mitigating shortage risks, preventing, and resolving theft and fraud to ensure product is available for our guest . They also build relationships inside and outside of Target , including store leaders and public safety officials, inclusive of law enforcement. At Target , we believe in our team members having meaningful experiences that help them build and develop skills for a career. The role of a Target Security Specialist can provide you with the skills and experience of : <sp

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Position Summary: Designs, models, and develops data management systems that integrate laboratory, operation and research data. Designs, builds, improves and maintains high performance and highly scalable data pipelines. Oversees transition of data pipelines to production and commercial settings; develops technology choices and practices that support pipeline maturation. Researches and assesses the viability of new data management and processing technologies. Scope of Responsibilities: Applies subject matter expertise and extensive knowledge of theories, practices, and design matters to lead the application of existing principles and guide the development of new ideas. Provides, guides, and uses professional concepts to resolve critical issues. Works on highly complex assignments that address future concepts where problem solving requires conceptual thinking and an evaluation of enigmatic components. Accountable for results which may impact multiple functions. Enhances formal networks with key decision makers and recognized as a thought le

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Software Engineer Overview Join a team responsible for building the authentication and security solutions that help protect digital interactions across Mastercard's Identity Solutions platform. As a Senior Software Engineer, you will design, develop, and support secure, scalable, and high-performing applications that enable trusted identity verification, authentication, and fraud prevention capabilities. In this role, you will take ownership of complex technical challenges, contribute to software design and architecture decisions, and partner closely with product, security, and platform teams to deliver reliable, production-ready solutions. You'll play a key role in advancing engineering excellence through secure development practices, system reliability, automation, and continuous improvement while mentoring other engineers and influencing technical direction across the team. Role •Design, build, test, deploy, and maintain scalable, cloud-native applications and microservices •Develop REST APIs using Java and Spring Boot, focusing on performance, scalability, and reliability •Translate requirements into well-structured designs and architecture, ensuring maintainability and security •Lead and contribute to system design discussions, aligning with architectural standards and best practices<

NVIDIA is looking for Senior Networking (ETH/IB) Solutions Architect to join its NVIDIA Infrastructure Specialist Team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale Networking projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer! What you'll be doing: Primary responsibilities will include building AI/HPC infrastructure for new and existing customers. Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting. Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement. Maintain services once they are live by measuring and monitoring availability, latency, and overall system health. Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements. What we need to see: BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields. At least 5&#43; years of professional experience in networking fundamentals, Ethernet or InfiniBand World. Hands-on experience with network switch/router platforms like Cumulus Linux, SONiC, IOS, JunosOS, and EOS, etc. Possess solid working knowl

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which the GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As a Developer Technology Engineer you will be at the forefront of innovation, working with leading industry partners and exciting OSS projects to accelerate RTX & DGX SoC performance for agentic use. This role offers an outstanding opportunity to collaborate with world-class talent and make a significant contribution to the next era of enterprise and consumer AI. What you'll be doing: Own key engagements with our fast-paced developer ecosystem partners, optimizing their applications to deliver outstanding end-to-end performance on RTX and DGX SoCs. Take ownership of performance optimization for compute-intensive CPU, AI, and 3D graphics workloads, working with domain experts to identify bottlenecks and implement effective solutions. Work across system software, GPU driver, architecture, and NVIDIA Research teams to influence next-generation, high-performance SoC platforms by bringing real-world workflows and actionable insights from partner and customer needs. Provide technical guidance and mentorship to junior engineers while contributing to an inclusive and high-performing team environment. What we need to see: BS or MS degree in Computer Science, Engineering, Mathematics or related degree (or equivalent experience) 5&#43; years of respective work experience as software developer Proficiency in C/C&#43;&#43;, Python, software

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and