Browse
···
Log in / Register

Java Developer

Negotiable Salary

Axiom Software Solutions Limited

Philadelphia, PA, USA

Favourites
Share

Description

Role: Java Developer Location: Philadelphia, Philadelphia, PA Mandatory skills: Java, Spring, Jenkins, Tomcat, Python, MySQL, GIT, Test Automation Framework Development Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, or a related technical field Define and develop test automation using the following: Java J2EE, Spring, Jenkins, Tomcat, Python, MySQL, GIT and Maven Deploy using Agile or Scrum in a DevOps environment. Additional advantage having +1 year of experience or domain in developing in video and broadband product architecture utilizing RDK/TDK suite. Key Job Responsibility: +5 years DevOps Practices: •Full Lifecycle Ownership: Oversee solutions through their entire lifecycle, from design to production deployment. •Comprehensive Solutioning: Design, develop, execute, train, operationalize, monitor, and triage end-to-end solutions. Focus on enhancing process quality and predictability. •Observability and Oversight: Improve observability to ensure comprehensive oversight of the end-to-end release readiness process. •Process Optimization: Develop and implement process improvements to boost team velocity and efficiency. •Collaboration and Integration: Work closely with other engineers, integrating business and functional priorities into solutions. Act as a key contributor in complex, high-stakes environments. •Operationalization: Successfully operationalize solutions in production to ensure seamless functionality and impact. 2.+5 years BDD and Test Automation Expertise: •Have a good understanding of Business-Driven Development strategy. •Explore advanced topics such as test data management, scenario refactoring, and integrating BDD with continuous integration/continuous deployment (CI/CD) pipelines. •Develop, and execute high-quality test plans efficiently on RDK stacks while leveraging automation and tooling to detect defects quickly and ensure the reliability of test coverages. 3. +5 years Tooling and Test Automation Infrastructure: •Get familiar with automation tools and frameworks for test development, execution, and reporting. •Maintaining test automation, including selecting appropriate tools, configuring environments, and integrating with version control systems. 4. +5 years Reliability Engineering and Process Optimization: •Explore strategies for optimizing validation coverage for home setups, standalone. •Practice DevOps to reduce the time between testbed delivery and acceptance by the receiving teams with reliability metrics 5. Collaboration and Communication Skills: •Effectively communicate and collaborate within the team and with stakeholders. •Practice agile methodologies to enhance teamwork and productivity. •Participate in cross-functional activities such as joint sprint planning, backlog grooming, and retrospective meetings to foster alignment and shared understanding across teams. 6. Continuous Learning and Improvement: •Practice continuous learning and improvement for ongoing skill development and career growth. •Stay updated on industry trends and best practices. •Put the team first. Value individual growth and collective success. 7. Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products, and services, especially our digital tools and experiences. 8. Win as a team - make big things happen by working together and being open to new ideas. Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs, and helping us elevate opportunities to do better for our customers. Drive results and growth. Respect and promote inclusion & diversity. Do what's right for each other, our customers, investors, and our communities.

Source:  workable View original post

Location
Philadelphia, PA, USA
Show map

workable

You may also like

Workable
Software Engineer, Skill Level 2
At Avalore, we are a mission-driven, veteran-owned small business that helps government agencies harness the power of data and emerging technologies to solve complex problems. Our team combines deep technical expertise with a passion for public service, delivering innovative, responsible solutions in AI, data governance, cybersecurity, and enterprise transformation. Joining Avalore means working alongside experts who have successfully led high-impact initiatives across the DoD and Intelligence Community, and being part of a company that values integrity, agility, and purpose. Your responsibilities will include: Develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements.  Analyze user requirements to derive software design and performance requirements  Design and code new software or modify existing software to add new features  Debug existing software and correct defects  Integrate existing software into new or modified systems or operating environments  Develop simple to complex data queries for existing or proposed databases or data repositories  Provide recommendations for improving documentation and software development process standards  Works individually or as part of a team.  Reviews and tests software components for adherence to the design requirements and documents test results.  Utilizes software development and software design methodologies appropriate to the development environment.  Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Commercial Off-the-shelf (COTS)/Government Off-the-shelf (GOTS) in place of new development, and requirements analysis and synthesis from system level to individual software components. Requirements Bachelor’s degree in a technical discipline from an accredited college or university is required + Fourteen (14) years’ experience as a SWE in programs and contracts of similar scope, type, and complexity  Four (4) years of relevant SWE experience may be substituted for the degree  Ability to work independently and manage multiple priorities. TS/SCI and Special Security Accesses and Polygraph required. Applicants must be currently authorized to work in the United States on a full-time basis. Avalore will not sponsor applicants for work visas for this position. Desired: Cloud, CNO, DevOps, Data Analytics, Machine Learning & AI  Benefits Eligibility requirements apply. Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Short Term & Long Term Disability Training & Development Employee Assistance Program
Fort Meade, MD, USA
Negotiable Salary
Workable
Machine Learning Engineer, ML Runtime & Optimization
Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in Nov. 2024. Responsibility The ML Infrastructure team at Pony.ai provides a set of tools to support and automate the lifecycle of the AI workflow, including model development, evaluation, optimization, deployment, and monitoring. As a Machine Learning Engineer in ML Runtime & Optimization, you will be developing technologies to accelerate the training and inferences of the AI models in autonomous driving systems. This includes: Identifying key applications for current and future autonomous driving problems and performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation compute architectures. Collaborating closely with diverse groups in Pony.ai including both hardware and software to optimize and craft core parallel algorithms as well as to influence the next-generation compute platform architecture design and software infrastructure. Apply model optimization and efficient deep learning techniques to models and optimized ML operator libraries. Work across the entire ML framework/compiler stack (e.g.Torch, CUDA and TensorRT), and system-efficient deep learning models. Requirements BS/MS or Ph.D in computer science, electrical engineering or a related discipline. Strong programming skills in C/C++ or Python. Experience on model optimization, quantization or other efficient deep learning techniques Good understanding of hardware performance, regarding CPU or GPU execution model, threads, registers, cache, cost/performance trade-off, etc. Experience with profiling, benchmarking and validating performance for complex computing architectures. Experience in optimizing the utilization of compute resources, identifying and resolving compute and data flow bottlenecks. Strong communication skills and ability to work cross-functionally between software and hardware teams Preferred Qualifications: One or more of the following fields are preferred Experience with parallel programming, ideally CUDA, OpenCL or OpenACC. Experience in computer vision, machine learning and deep learning. Strong knowledge of software design, programming techniques and algorithms. Good knowledge of common deep learning frameworks and libraries. Deep knowledge on system performance, GPU optimization or ML compiler. Compensation and Benefits Base Salary Range: $140,000 - $250,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks
Fremont, CA, USA
$140,000-250,000/year
Cookie
Cookie Settings
Our Apps
Download
Download on the
APP Store
Download
Get it on
Google Play
© 2025 Servanan International Pte. Ltd.