Browse
···
Log in / Register

Software Engineer, Skill Level 0

Negotiable Salary

Avalore, LLC

Fort Meade, MD, USA

Favourites
Share

Description

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  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

Source:  workable View original post

Location
Fort Meade, MD, USA
Show map

workable

You may also like

Workable
Software Engineer, Deep Learning
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 15 million miles of autonomous driving globally. Responsibility Work with experts in the field of self-driving vehicles on software architecture and design, system and module design, evaluation metrics, specification and implementation of test and regression frameworks. Design and develop large-scale foundation models trained on vast of real world data Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc) to these problems; scale them to data pipelines; and streamline them to run in real-time on the cars. Develop and deploy deep learning models, including vision language models (VLMs) and Large Language Models (LLMs) Optimize deep learning models to run robustly under tight run-time constraints. Requirements Master in Computer Science, or at least 2 years of equivalent industry experience in similar technical fields. Solid understanding of data structures, algorithms, parallel computing, code optimization and large scale data processing. Experience in applied machine learning including data collection and analysis, evaluation and feature engineering. Expertise in C++/Python. Strong communication skills and team spirit. Preferred Experience PhD in Deep Learning, Machine Learning, Robotics, Natural Language Processing, or similar technical field of study. Publications on top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/ICLR/AAAI/IJCV/PAMI Experience in applying ML/DL for behavior prediction, imitation learning, motion planning. Experience in deploying deep learning algorithms for real time applications, with limited computing resources. Experience in convex optimization, computational geometry or linear algebra. Experience in GPU/CUDA/TensorRT 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.