A/AI Machine Learning Engineering - Level 2
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Job description
Responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations.Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms; Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms; Determines software methods to best acquire and execute knowledge; Implements algorithms into software to train systems to recognize patterns and perform specific functions; Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation; Review test outcomes, conducts troubleshooting, and works to debug issues; Develops human-machine interface scenarios, breaking missions into tasks; Documents interface requirements and implements human-machine interfaces, You will be able to take your experience with embedded software, AI/ML capabilities, and avionics and use it to help develop software for a wide range of aircraft systems supporting both rapid prototyping efforts and deliverable software.
The responsibilities for this role will include:
- Full software lifecycle development spanning across many avionics services, ground station development, and mission system software technologies
- AI/ML model development
- Supporting ground station development for manned and unmanned systems
- Development of simulations to support software development
- Interfacing with key software and systems engineers to define requirements for rapid prototypes
- Participating in integration and test events
- Define AI/ML project milestones, coordinate model-training timelines, and integrate deliverables into system-level schedules.
You will have the opportunity for growth and exploration while learning from some of the brightest professionals in our industry. This position offers a motivated engineer the opportunity to have a high impact on a fast-paced program as they grow their own skill set.
Requirements
- Bachelor’s degree or above from an accredited college in a relevant field of study; or equivalent experience
- Experience with C and/or C++
- Experience with Linux or RTOS (real-time operating systems) and associated development toolchains
- Experience with the software development process in a team environment (peer reviews, unit testing, configuration management, defect tracking)
Must be a US Citizen. This position is located at a facility that requires special access and a Secret clearance updated within the last 5 years to be considered., * Experience integrating hardware and software
- Proficiency with one or more AI/ML frameworks
- Experience in scripting languages (e.g. Python)
- Experience with build environments and tools (make and CMake)
- Experience using agile software development tools and methodologies (e.g. Git, GitLab, JIRA, Jenkins, Confluence, etc.)
- Experience with networking protocols (e.g. IP, UDP, RTP, etc.)
- Experience with hardware protocols (e.g. ARINC-429, RS-485, I2C, SPI, etc.)
- Experience working with safety/flight critical software development processes (e.g. MIL-STD-516C, MIL-HDBK-1797, AC-17-01, DO-178)
- Familiarity with safety-critical AI/ML development processes (e.g. DO-178 considerations for ML, model-based verification)
- Experience with Modeling and Simulation (including familiarity with MATLAB)
- Ability to build and maintain relationships and collaborate effectively with others
- Strong decision-making and judgment skills
Benefits & conditions
Full-Time Salary Range: $81100.00 - $150500.00
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
- Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
- For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
About the company
The Skunk Works (Lockheed Martin Advanced Development Programs) is looking for world-class talent in Software Engineering to be a part of a team that will carry on our 80-year tradition-making history in advanced aircraft development. The vehicle management software team writes software for a wide range of aircraft subsystems that make an airplane fly. We are a highly innovative fast-paced team working developing modular and reusable software to support both our current platforms and the aircraft of the future.
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