Consulting Software Engineer
Software engineer job at RELX
About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, ***************************
About the Team:
LexisNexis' linking team is responsible for linking billions of public and proprietary records to create a unique entity identifier for consumers, organizations and providers. We're looking for an experienced, smart, driven individual who will help us build and deliver enterprise-wide big data linking solutions by resolving complex analytical problems using quantitative approaches with a unique blend of analytical, mathematical and technical skills. This includes analyzing and linking large data problems using various statistical techniques, developing data models, implementing solutions, and providing support.
About the Role:
This position provides assistance and input to management, develops and leads large multifunctional development activities, solves complex technical problems, writes complex code for computer systems, and serves as a senior source of expertise. The position may also provide sizing or budget recommendations to management.
Responsibilities :
+ Design, develop, and maintain high-throughput, precise, ultra-low latency industry-leading big data linking solutions
+ Generate and own end-to-end solutions for loosely defined business problems by leveraging pattern detection over potentially large datasets
+ Provide project management and technical leadership for every aspect of SDLC
+ Coordinate and collaborate with technology and business stakeholders, including gathering and determining the feasibility of customer requirements
+ Recommend technical strategy, participate in the evolution of architecture, design solutions, and build and integrate the implementation
+ Lead, plan, and implement core changes that impact enterprise-wide critical functions/processes.
+ Work in iterative processes to perform advanced data analysis, validate findings or test hypotheses, and communicate results and methodology
+ Communicate technical information successfully with technical and non-technical audiences such as third-party vendors, external customer technical departments, various levels of management, and other relevant parties
+ Collaborate effectively with all team members, as well as hold regular team meetings
Requirements:
+ Bachelor's or master's degree in computer science, mathematics, statistics, or equivalent technical discipline
+ Substantial years of experience working with big data analytics and numerous large data sets/data warehouses
+ Strong Experience in Java, SQL, C+
+
+ Strong Experience in Microsoft Azure, Cosmos DB, Databricks and Spark
+ Ability to assemble, analyze, and evaluate big data and be able to make appropriate and well-reasoned recommendations to stakeholders
+ Good analytical and problem-solving skills, good understanding of different data structures, algorithms, and their usage in solving business problems
+ Ability to collaborate and lead internal and external technology resources in solving complex business needs
+ Strong communication (verbal and written) and customer service skills. Strong interpersonal, communication, and presentation skills applicable to a wide audience, including senior and executive management, customers, etc.
+ Strong skills in setting, communicating, implementing, and achieving business objectives and goals.
+ Strong organization/project planning, time management, and change management skills across multiple functional groups and departments, and strong delegation skills involving prioritizing and reprioritizing projects and managing projects of various sizes and complexities.
+ Experience with Big Data technologies, Data science.
U.S. National Base Pay Range: $113,100 - $188,500. Geographic differentials may apply in some locations to better reflect local market rates.
This job is eligible for an annual incentive bonus.
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer to our US full- and part-time employees working at least 20 hours or more per week:
β Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
β Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
β Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
β Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
β Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
β Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
β In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact **************.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
Software Engineer- AI/ML, AWS Neuron
Cupertino, CA jobs
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. This role is for a software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron. This role is responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive scale large language models like LLama4, Mixtral, DBRX and beyond, as well as stable diffusion, Vision Transformers and many more.
The Distributed training team works side by side with chip architects, compiler engineers and runtime engineers to create , build and tune distributed training solutions with Trainium. Experience training these large models using Python is a must. FSDP, Deepspeed and other distributed training libraries are central to this and extending all of this for the Neuron based system is key.
Key job responsibilities
This role will help lead the efforts building distributed training support into Pytorch and Jax using XLA and the Neuron compiler and runtime stacks. This role will help tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium . Strong software development and ML knowledge are both critical to this role.
About the team
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
BASIC QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS- Bachelor's degree in computer science or equivalent
- 2+ years of experience with ML system design, including model architecture, and scalable training and inference systems
- Experience with modern ML frameworks (TensorFlow, PyTorch, JAX, or similar) and programming in Python or similar languages
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.
Sr. Software Development Engineer, Annapurna Labs
Austin, TX jobs
In this role you will be responsible for leading a technical team which is critical in providing compute sanitization to the Neuron ML accelerators fleet. You will work closely with the hardware and software teams to ensure the right tools are available for identifying defects or faulty states of the hardware before the customer hits an issue. Neuron Compute Sanitizer Tools develops and maintains a pre-check and functional correctness checking suite and provides visibility at the fleet level to understand the trends of hardware/software sanitization.
Key job responsibilities
* Provide technical leadership to the Compute Sanitization team
* Work closely with the hardware and firmware design teams.
* Collect requirements from various other teams including training, inference and runtime.
* Collaborate with the runtime team to ensure timely release of the pre-check tools.
* Anticipate future needs based on the product roadmap and develop necessary tools to sanitize compute.
About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
About Amazon Annapurna Labs:
Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances.
About AWS Utility Computing (UC):
AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio.
About AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
About AWS Neuron:
AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it's all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more.
BASIC QUALIFICATIONS- 10+ years of engineering experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience as a tech lead of a large group of engineers
PREFERRED QUALIFICATIONS- Experience designing and developing large scale, high-traffic applications
- Experience with ML hardware/Software
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.
Senior Software Engineer, Server Control Firmware
Austin, TX jobs
Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.
In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. Our Chassis Software team is looking for candidates interested in diving deep into the different hardware technologies that power our Machine Learning servers and develop the software and firmware to drive, support and sustain these technologies as they evolve though concept and manufacturing, and finally take their place in our rapidly expanding fleet of cutting edge Machine Learning products our customers demand.
Key job responsibilities
- Provide Baseboard Management Controller (BMC) and Satellite Management Controller (SMC) software and firmware for Machine Learning Accelerator (MLA) servers.
- Continuously collaborate with other server and board software teams responsible for accelerator management firmware and other programmable logic devices.
- Work within the larger MLA Systems Software group to support development of mission-mode firmware, exercisers for manufacturing and vetting, and automation for qualification and deployment.
- Engage in new product development by participating in early concept design reviews, schematic approvals, offsite board bringup and laboratory-based testing.
A day in the life
The MLA Chassis Software team was formed to focus on board firmware primarily for mission-mode control of sensors and other board-level hardware. This includes debug, testing, qualification, and manufacturing. We touch technologies from device drivers to the I2C infrastructure pervasive in the server and everything in between. We are not working on machine learning algorithms, but rather we work on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, I2C, and device control are our bread and butter. Some of us know what a Tensor is but really it's not what we do.
About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
About AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team
PREFERRED QUALIFICATIONS- Bachelor's degree in computer science or equivalent
- Experience writing software for DDR/HBM controllers and PHYs
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.
Software Development Manager, AI Inference Technology, Neuron SDK
Seattle, WA jobs
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon Elastic Compute Cloud (EC2), to new product innovations that continue to set AWS's services and features apart in the industry. We develop AWS Neuron, the complete software stack for Trainium, Amazon's custom cloudscale
machine learning accelerators. Come optimize LLMs such as Llama and GPT OSS to run
really fast on Trainium.
As the SDM for the Neuron Inference Technology building blocks team, you will guide your
expert AI engineers to build fundamental inference technology building blocks and libraries to
enable AI developers to optimize model for inference on Trainium and Inferentia devices. We're
currently focusing on MoE models such as GPT OSS for Trainium 2 and the upcoming
Trainium 3. You will develop and optimize blocks such as attention kernels and
deliver them in the Neuronx_Distributed Inference Libraries, enabling customers to optimize
LLMs, multimodal, and generative models.
The ideal candidate will have an established background in optimizing LLMs, such as delivering
high-performance models using distributed inference libraries. You should be capable of
managing demanding, fast-changing priorities. You should have a strong technical ability to
understand and deliver as part of a vertically integrated system stack consisting of the PyTorch
inference library, Neuron compiler, runtime and collectives.
A day in the life
You will work with your senior management and technical leaders to define the building blocks
for the latest LLMs, build and deliver them to customers. You will manage changing priorities as
new models and new technologies emerge, and you adapt your team's work to manage them.
You will dive deep to help your team solve technical challenges.
About the team
About AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud
platform. We pioneered cloud computing and never stopped innovating - that's why
customers from the most successful startups to Global 500 companies trust our robust suite of
products and services to power their businesses.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed
in the job description, we encourage candidates to apply. If your career is just starting, hasn't
followed a traditional path, or includes alternative experiences, don't let it stop you from
applying.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of
sacrifices at home, which is why we strive for flexibility as part of our working culture. When we
feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer.
That's why you'll find endless knowledge-sharing, mentorship and other career-advancing
resources here to help you develop into a better-rounded professional.
BASIC QUALIFICATIONS- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Experience partnering with product or program management teams
PREFERRED QUALIFICATIONS- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.
Java Software Engineer
Denver, CO jobs
The position is 100% remote. The software team is based in Colorado and seeks to hire Colorado-based engineers so they can meet up for team-building events a few times a year.
3-month Contract to Hire, client is currently unable to offer sponsorship. Please, no C2C.
We are seeking a Mid-Level Full Stack Software Engineer with strong expertise in backend Java and Spring Boot development. This engineer will contribute to designing, building, enhancing, and maintaining internal applications and services.
This role operates entirely on-premise (no cloud environment), and works closely with cross-functional technical teams to deliver secure, reliable, and scalable software solutions. Experience with CI/CD pipelines is a strong plus but not a requirement.
Responsibilities
Back-End Development
Design, develop, and maintain backend services using Java, Spring Boot, and related frameworks.
Implement RESTful APIs, integrations, and data processing logic.
Optimize application performance, reliability, and scalability.
Write clean, maintainable, well-documented code aligned with internal standards.
Full Stack Contributions
Support and maintain front-end components (React, Angular, or similar), including UI enhancements and bug fixes.
Collaborate with UI/UX designers to support modern, user-friendly interfaces.
Systems & Collaboration
Operate within an on-prem environment (no cloud deployment).
Work closely with product owners, business analysts, QA engineers, and other developers throughout the SDLC.
Participate in code reviews, requirement discussions, and architectural design sessions.
Assist in troubleshooting, debugging, and resolving production issues.
DevOps (Nice to Have)
Contribute to or utilize CI/CD pipelines for automated builds, testing, and deployments.
Work with tools such as Jenkins, GitLab CI, Bamboo, or similar on-prem pipeline tools (optional).
Required Qualifications
Bachelor's degree in Computer Science, Engineering, or related technical field (or equivalent experience).
3-5 years of professional software engineering experience.
Strong proficiency with:
Java
Spring Boot / Spring Framework
REST API development
Experience with relational databases (PostgreSQL, Oracle, MySQL, etc.).
Solid understanding of source-control systems (Git preferred).
Ability to work in on-premise environments with traditional deployment models.
Strong analytical, problem-solving, and communication skills.
Preferred / Nice-to-Have
Experience with CI/CD pipelines (Jenkins, GitLab, Bamboo, TeamCity, etc.).
Basic front-end experience (React, Angular, Vue, or vanilla JavaScript).
Experience working within regulated or highly secure software environments.
Familiarity with message queues, integration patterns, or on-prem enterprise systems.
AI GPU - SR Staff Software Engineer (CPU, Linux, C++) Remote USA only
Lubbock, TX jobs
AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++)
(No contractors)
CONFIDENTIAL
Publicly traded computer hardware infrastructure company with over
$5 Billion
in sales whose
stock price has grown over 300%
in the last year in support of the
Ai Data Center
infrastructure build-up.
Company is seeking to hire several senior-level individual contributor βhands-onβ software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal.
Software Development
Design and implement drivers, application software that drive next generation CPU and GPU.
Develop, augment and maintain software libraries for computing on GPU.
Optimize code for performance, efficiency, and low latency.
Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency.
Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries.
Hardware Integration
Board bring-up and validation of all low-level interactions with hardware.
Drivers to monitor the health of the board.
Troubleshoot and resolve hardware-software interaction issues.
REQUIREMENTS
Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants.
Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development.
Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm.
Must possess strong programming skills with proficiency in Embedded C/C++.
Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU.
Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments.
Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements.
Debugging and testing skills with ability to identify and resolve software and hardware issues.
Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required.
This is a software DEVELOPMENT role. It is NOT one of the roles listed below.
NO Managers. This is a HANDS-ON individual contributor, coding engineer role.
NO Testing-only focused engineers.
AI GPU - SR Staff Software Engineer (CPU, Linux, C++) Remote USA only
San Antonio, TX jobs
AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++)
(No contractors)
CONFIDENTIAL
Publicly traded computer hardware infrastructure company with over
$5 Billion
in sales whose
stock price has grown over 300%
in the last year in support of the
Ai Data Center
infrastructure build-up.
Company is seeking to hire several senior-level individual contributor βhands-onβ software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal.
Software Development
Design and implement drivers, application software that drive next generation CPU and GPU.
Develop, augment and maintain software libraries for computing on GPU.
Optimize code for performance, efficiency, and low latency.
Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency.
Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries.
Hardware Integration
Board bring-up and validation of all low-level interactions with hardware.
Drivers to monitor the health of the board.
Troubleshoot and resolve hardware-software interaction issues.
REQUIREMENTS
Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants.
Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development.
Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm.
Must possess strong programming skills with proficiency in Embedded C/C++.
Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU.
Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments.
Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements.
Debugging and testing skills with ability to identify and resolve software and hardware issues.
Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required.
This is a software DEVELOPMENT role. It is NOT one of the roles listed below.
NO Managers. This is a HANDS-ON individual contributor, coding engineer role.
NO Testing-only focused engineers.
AI GPU - SR Staff Software Engineer (CPU, Linux, C++) Remote USA only
El Paso, TX jobs
AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++)
(No contractors)
CONFIDENTIAL
Publicly traded computer hardware infrastructure company with over
$5 Billion
in sales whose
stock price has grown over 300%
in the last year in support of the
Ai Data Center
infrastructure build-up.
Company is seeking to hire several senior-level individual contributor βhands-onβ software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal.
Software Development
Design and implement drivers, application software that drive next generation CPU and GPU.
Develop, augment and maintain software libraries for computing on GPU.
Optimize code for performance, efficiency, and low latency.
Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency.
Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries.
Hardware Integration
Board bring-up and validation of all low-level interactions with hardware.
Drivers to monitor the health of the board.
Troubleshoot and resolve hardware-software interaction issues.
REQUIREMENTS
Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants.
Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development.
Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm.
Must possess strong programming skills with proficiency in Embedded C/C++.
Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU.
Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments.
Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements.
Debugging and testing skills with ability to identify and resolve software and hardware issues.
Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required.
This is a software DEVELOPMENT role. It is NOT one of the roles listed below.
NO Managers. This is a HANDS-ON individual contributor, coding engineer role.
NO Testing-only focused engineers.
AI GPU - SR Staff Software Engineer (CPU, Linux, C++) Remote USA only
Arlington, TX jobs
AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++)
(No contractors)
CONFIDENTIAL
Publicly traded computer hardware infrastructure company with over
$5 Billion
in sales whose
stock price has grown over 300%
in the last year in support of the
Ai Data Center
infrastructure build-up.
Company is seeking to hire several senior-level individual contributor βhands-onβ software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal.
Software Development
Design and implement drivers, application software that drive next generation CPU and GPU.
Develop, augment and maintain software libraries for computing on GPU.
Optimize code for performance, efficiency, and low latency.
Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency.
Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries.
Hardware Integration
Board bring-up and validation of all low-level interactions with hardware.
Drivers to monitor the health of the board.
Troubleshoot and resolve hardware-software interaction issues.
REQUIREMENTS
Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants.
Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development.
Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm.
Must possess strong programming skills with proficiency in Embedded C/C++.
Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU.
Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments.
Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements.
Debugging and testing skills with ability to identify and resolve software and hardware issues.
Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required.
This is a software DEVELOPMENT role. It is NOT one of the roles listed below.
NO Managers. This is a HANDS-ON individual contributor, coding engineer role.
NO Testing-only focused engineers.
AI GPU - SR Staff Software Engineer (CPU, Linux, C++) Remote USA only
Corpus Christi, TX jobs
AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++)
(No contractors)
CONFIDENTIAL
Publicly traded computer hardware infrastructure company with over
$5 Billion
in sales whose
stock price has grown over 300%
in the last year in support of the
Ai Data Center
infrastructure build-up.
Company is seeking to hire several senior-level individual contributor βhands-onβ software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal.
Software Development
Design and implement drivers, application software that drive next generation CPU and GPU.
Develop, augment and maintain software libraries for computing on GPU.
Optimize code for performance, efficiency, and low latency.
Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency.
Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries.
Hardware Integration
Board bring-up and validation of all low-level interactions with hardware.
Drivers to monitor the health of the board.
Troubleshoot and resolve hardware-software interaction issues.
REQUIREMENTS
Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants.
Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development.
Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm.
Must possess strong programming skills with proficiency in Embedded C/C++.
Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU.
Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments.
Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements.
Debugging and testing skills with ability to identify and resolve software and hardware issues.
Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required.
This is a software DEVELOPMENT role. It is NOT one of the roles listed below.
NO Managers. This is a HANDS-ON individual contributor, coding engineer role.
NO Testing-only focused engineers.
Senior Software Engineer
Fremont, CA jobs
Senior Software Engineer - Product
π San Francisco, CA (In-Person, 5 Days/Week)
π° $200K-$320K base + 0.1-0.3% equity
About the Role:
We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows.
As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0β1 MVP development and the 1β10 scaling phase - building high-impact features that help brokers serve customers faster and better.
This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience.
What You'll Do
Develop end-to-end product features across both frontend and backend layers
Write clean, maintainable, well-tested TypeScript (Python a plus)
Debug and optimize across the full stack for performance and reliability
Balance user needs, technical trade-offs, and business goals when prioritizing features
Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products
Iterate quickly and ship frequently - moving from prototype to production fast
Own product outcomes: from gathering feedback to delivering impactful releases
What We're Looking For
4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E)
Strong proficiency in TypeScript; experience with Python is a plus
Proven track record of shipping user-centric, scalable products
Excellent collaboration and communication skills across teams
Product-minded, you care about user experience as much as clean code
Comfortable with ambiguity and thrive in fast-paced environments
Willing to work on-site in San Francisco, 5 days per week
AI GPU - SR Staff Software Engineer (CPU, Linux, C++) Remote USA only
Austin, TX jobs
AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++)
(No contractors)
CONFIDENTIAL
Publicly traded computer hardware infrastructure company with over
$5 Billion
in sales whose
stock price has grown over 300%
in the last year in support of the
Ai Data Center
infrastructure build-up.
Company is seeking to hire several senior-level individual contributor βhands-onβ software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal.
Software Development
Design and implement drivers, application software that drive next generation CPU and GPU.
Develop, augment and maintain software libraries for computing on GPU.
Optimize code for performance, efficiency, and low latency.
Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency.
Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries.
Hardware Integration
Board bring-up and validation of all low-level interactions with hardware.
Drivers to monitor the health of the board.
Troubleshoot and resolve hardware-software interaction issues.
REQUIREMENTS
Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants.
Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development.
Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm.
Must possess strong programming skills with proficiency in Embedded C/C++.
Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU.
Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments.
Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements.
Debugging and testing skills with ability to identify and resolve software and hardware issues.
Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required.
This is a software DEVELOPMENT role. It is NOT one of the roles listed below.
NO Managers. This is a HANDS-ON individual contributor, coding engineer role.
NO Testing-only focused engineers.
AI GPU - SR Staff Software Engineer (CPU, Linux, C++) Remote USA only
Houston, TX jobs
AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++)
(No contractors)
CONFIDENTIAL
Publicly traded computer hardware infrastructure company with over
$5 Billion
in sales whose
stock price has grown over 300%
in the last year in support of the
Ai Data Center
infrastructure build-up.
Company is seeking to hire several senior-level individual contributor βhands-onβ software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal.
Software Development
Design and implement drivers, application software that drive next generation CPU and GPU.
Develop, augment and maintain software libraries for computing on GPU.
Optimize code for performance, efficiency, and low latency.
Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency.
Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries.
Hardware Integration
Board bring-up and validation of all low-level interactions with hardware.
Drivers to monitor the health of the board.
Troubleshoot and resolve hardware-software interaction issues.
REQUIREMENTS
Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants.
Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development.
Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm.
Must possess strong programming skills with proficiency in Embedded C/C++.
Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU.
Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments.
Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements.
Debugging and testing skills with ability to identify and resolve software and hardware issues.
Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required.
This is a software DEVELOPMENT role. It is NOT one of the roles listed below.
NO Managers. This is a HANDS-ON individual contributor, coding engineer role.
NO Testing-only focused engineers.
AI GPU - SR Staff Software Engineer (CPU, Linux, C++) Remote USA only
Dallas, TX jobs
AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++)
(No contractors)
CONFIDENTIAL
Publicly traded computer hardware infrastructure company with over
$5 Billion
in sales whose
stock price has grown over 300%
in the last year in support of the
Ai Data Center
infrastructure build-up.
Company is seeking to hire several senior-level individual contributor βhands-onβ software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal.
Software Development
Design and implement drivers, application software that drive next generation CPU and GPU.
Develop, augment and maintain software libraries for computing on GPU.
Optimize code for performance, efficiency, and low latency.
Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency.
Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries.
Hardware Integration
Board bring-up and validation of all low-level interactions with hardware.
Drivers to monitor the health of the board.
Troubleshoot and resolve hardware-software interaction issues.
REQUIREMENTS
Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants.
Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development.
Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm.
Must possess strong programming skills with proficiency in Embedded C/C++.
Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU.
Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments.
Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements.
Debugging and testing skills with ability to identify and resolve software and hardware issues.
Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required.
This is a software DEVELOPMENT role. It is NOT one of the roles listed below.
NO Managers. This is a HANDS-ON individual contributor, coding engineer role.
NO Testing-only focused engineers.
Senior Software Engineer
Santa Rosa, CA jobs
Senior Software Engineer - Product
π San Francisco, CA (In-Person, 5 Days/Week)
π° $200K-$320K base + 0.1-0.3% equity
About the Role:
We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows.
As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0β1 MVP development and the 1β10 scaling phase - building high-impact features that help brokers serve customers faster and better.
This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience.
What You'll Do
Develop end-to-end product features across both frontend and backend layers
Write clean, maintainable, well-tested TypeScript (Python a plus)
Debug and optimize across the full stack for performance and reliability
Balance user needs, technical trade-offs, and business goals when prioritizing features
Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products
Iterate quickly and ship frequently - moving from prototype to production fast
Own product outcomes: from gathering feedback to delivering impactful releases
What We're Looking For
4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E)
Strong proficiency in TypeScript; experience with Python is a plus
Proven track record of shipping user-centric, scalable products
Excellent collaboration and communication skills across teams
Product-minded, you care about user experience as much as clean code
Comfortable with ambiguity and thrive in fast-paced environments
Willing to work on-site in San Francisco, 5 days per week
Senior Software Engineer
San Francisco, CA jobs
Senior Software Engineer - Product
π San Francisco, CA (In-Person, 5 Days/Week)
π° $200K-$320K base + 0.1-0.3% equity
About the Role:
We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows.
As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0β1 MVP development and the 1β10 scaling phase - building high-impact features that help brokers serve customers faster and better.
This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience.
What You'll Do
Develop end-to-end product features across both frontend and backend layers
Write clean, maintainable, well-tested TypeScript (Python a plus)
Debug and optimize across the full stack for performance and reliability
Balance user needs, technical trade-offs, and business goals when prioritizing features
Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products
Iterate quickly and ship frequently - moving from prototype to production fast
Own product outcomes: from gathering feedback to delivering impactful releases
What We're Looking For
4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E)
Strong proficiency in TypeScript; experience with Python is a plus
Proven track record of shipping user-centric, scalable products
Excellent collaboration and communication skills across teams
Product-minded, you care about user experience as much as clean code
Comfortable with ambiguity and thrive in fast-paced environments
Willing to work on-site in San Francisco, 5 days per week
Senior Software Engineer
San Jose, CA jobs
Senior Software Engineer - Product
π San Francisco, CA (In-Person, 5 Days/Week)
π° $200K-$320K base + 0.1-0.3% equity
About the Role:
We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows.
As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0β1 MVP development and the 1β10 scaling phase - building high-impact features that help brokers serve customers faster and better.
This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience.
What You'll Do
Develop end-to-end product features across both frontend and backend layers
Write clean, maintainable, well-tested TypeScript (Python a plus)
Debug and optimize across the full stack for performance and reliability
Balance user needs, technical trade-offs, and business goals when prioritizing features
Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products
Iterate quickly and ship frequently - moving from prototype to production fast
Own product outcomes: from gathering feedback to delivering impactful releases
What We're Looking For
4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E)
Strong proficiency in TypeScript; experience with Python is a plus
Proven track record of shipping user-centric, scalable products
Excellent collaboration and communication skills across teams
Product-minded, you care about user experience as much as clean code
Comfortable with ambiguity and thrive in fast-paced environments
Willing to work on-site in San Francisco, 5 days per week
Windows Application Developer
Dallas, TX jobs
Windows Application Developer (Kernel/Networking)
Our client is seeking a Windows Application Developer with deep expertise in Windows kernel-level programming, networking, and enterprise security. This role focuses on building native agents for Windows (and some mac OS), leveraging WFP for firewalling, packet filtering, and enterprise VPN/ZeroTrust solutions. The ideal candidate is a true systems programmer who thrives in OS internals, networking stacks, and cross-platform agent development.
Key Responsibilities
Architect, develop, and maintain native Windows and mac OS agents using platform APIs, kernel interfaces, and WFP.
Design and implement kernel-level networking solutions (firewalls, packet routing, VPNs, ZeroTrust).
Develop Windows drivers and system components with WDK/Win32 APIs; ensure code signing and driver certification.
Leverage BSD networking knowledge and mac OS Network/System Extensions for packet filtering and routing.
Build cross-platform agent frameworks using Rust (40%) and Python (30%), with familiarity in Tauri/React UIs.
Debug production issues including kernel crashes, driver bugs, and network failures.
Implement observability stacks (Prometheus, Grafana, OpenTelemetry, ELK/Loki) for cross-platform monitoring.
Collaborate across teams to deliver secure, stable, and high-performance networking solutions.
Qualifications
6-8+ years in systems programming with a strong focus on Windows internals.
Expertise in Windows Filtering Platform (WFP), Windows Driver Kit (WDK), Win32 APIs, and kernel networking.
Strong knowledge of IP networking, routing protocols, DPS, firewalls, and BSD networking stacks.
Proven experience shipping enterprise VPN, ZeroTrust, or endpoint security (XDR/MDR) solutions.
Advanced skills in C programming, with proficiency in Rust and Python for cross-platform agent work.
Familiarity with Tauri/React (front-end awareness, not a UI developer).
Hands-on debugging with tracers, profilers, crash dumps, and system performance tools.
Strong problem solver and constant learner with proven ability to ship modern, secure solutions.
Additional Info
Location: Dallas, TX
U.S. Citizen or Green Card Holder only.
Work split: ~30% kernel development, 40% Rust, 30% Python.
Interview Process: Recruiter screen β technical deep dive (kernel/networking) β peer panel.
Software Engineer III
Software engineer job at RELX
About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, ***************************
About our Team:
We're looking for an engineer to join our dynamic development team. Our team is highly focused on helping our customers solve the technical problems associated with their specific missions. Team members use a variety of technologies as appropriate to the problem space and have the opportunity to learn new technologies frequently. By joining our team you not only have the opportunity to contribute to the success of our organization, but to the success of our customers' important missions.
About the Role:
This position performs moderately difficult research, design, and software development assignments within a specific software functional area or product line. The position should have the ability to work on individual pieces of work and solve problems including the design of the program flow of individual pieces of code, effective coding, and unit testing.
Technical Skills:
-Must be fully authorized to work in the US, sponsorship will not be provided
Knowledge of and previous experience with: C-sharp, .NET, Java, JavaScript, Python, SQL.
- Knowledge of and previous experience with deployment of C-sharp .NET applications and microservices to Azure.
- Knowledge of and previous experience with source control and development tools including Git source control systems, and Eclipse or Visual Studio Code.- Proficiency with data manipulation languages.- Understanding of data modeling principles.- Ability to work with complex data models.
- Knowledge of and previous experience with big data analysis techniques.- Familiarity of industry best practices - code coverage.- Ability to work well with internal and external technology resources.- Ability to write and review portions of detailed specifications for the development of system components of moderate complexity.- Knowledge of software development methodologies (e.g., Agile, Waterfall).- Knowledge of data manipulation languages.- Knowledge of data storage subsystems.- Knowledge of test-driven development.- Ability to write and review portions of detailed specifications for the development of system components of moderate complexity.
Responsibilities:
- Interface with other technical personnel or team members to finalize requirements.- Write and review portions of detailed specifications for the development of system components of moderate complexity.- Work closely with other development team members to understand moderately complex product requirements and translate them into software designs.- Successfully implement development processes, coding best practices, and code reviews.- Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders.- Resolve technical issues as necessary.- Keep abreast of new technology developments.
U.S. National Base Pay Range: $77,300 - $128,700. Geographic differentials may apply in some locations to better reflect local market rates.
This job is eligible for an annual incentive bonus.
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer to our US full- and part-time employees working at least 20 hours or more per week:
β Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
β Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
β Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
β Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
β Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
β Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
β In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact **************.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.