招聘
必备技能
Python
Linux
Description:
WHAT WE’RE DOING:
Sikorsky Innovations Special Programs is seeking a highly motivated Radar Cross Section Analyst to support the development of low observable technologies for advanced aerospace and defense platforms. The ideal candidate will combine strong electromagnetic (EM) fundamentals with hands on experience in RCS modeling, simulation, and test validation.
THE WORK
As a key member of our Radar team, you will:
- Conduct Electromagnetic Modeling & Simulations.
- Develop and execute RCS predictions using CEM tools (e.g., Xpatch, Sentri, Ansys HFSS, In-house Method of Moments codes).
- Generate and maintain detailed CAD/geometry models for analysis.
- Conduct Data Reduction & Test Support.
- Process and interpret measured/predicted RCS data; compare against design goals and iteratively improve the technical solution.
- Coordinate test planning, execution, and post test analysis for range and laboratory measurements.
- Design Low Observable Optimization
- Apply electro physics and radar theory concepts to formulate design level trade studies.
- Recommend geometry, material, and coating modifications to reduce radar signature.
- Compile Technical Documentation & Reporting
- Produce clear technical reports, briefings, and data packages for internal stakeholders and external customers.
- Collaborate with team members.
- Work within interdisciplinary teams (structures, materials, radar, software) and provide technical leadership on RCS related tasks.
This position will require the selected candidate to have or obtain a Secret level U.S. government security clearance before starting with Lockheed Martin. U.S. citizenship is a requirement for consideration.
WHY JOIN US:
With our employees as our top priority, we provide career opportunities designed to propel development and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. At Lockheed Martin, we place an emphasis on empowering our employees by fostering innovation, integrity, and exemplifying the epitome of corporate responsibility.
Basic Qualifications:
- B.S. in Electrical Engineering, Physics, or a closely related discipline.
- 2+ years of full time RCS analysis, radar design, or radar test & evaluation.
- Strong foundation in electromagnetics, scattering theory, and radar fundamentals.
- Experience with MATLAB, Python, or C++ for data processing and scripting.
- Familiarity with Linux/Unix environments and CAD software.
Desired Skills:
- M.S. in a relevant field.
- Direct experience with low observable (LO) technology development for aerospace platforms.
- Hands on involvement in radar system design, operation, or Radar integration & test (I&T).
- Knowledge of signature reduction techniques (shaping, RAM, or others).
- Publications or conference presentations in RCS or related EM topics.
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Secret
Other Important Information You Should Know:
Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
Schedule for this Position: 4x10 hour day, 3 days off per week
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.
If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.
Experience Level: Experienced Professional
Business Unit: RMS
Relocation Available: Possible
Career Area: Electrical Engineering
Type: Full-Time
Shift: First
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关于Lockheed Martin

Lockheed Martin
PublicYour mission is ours.
10,001+
员工数
North Bethesda
总部位置
$110B
企业估值
评价
3.7
10条评价
工作生活平衡
3.8
薪酬
4.1
企业文化
3.9
职业发展
2.8
管理层
3.2
68%
推荐给朋友
优点
Good pay/salary
Excellent benefits
Good work-life balance/flexible hours
缺点
Bureaucratic processes
Limited promotion opportunities
High pressure/stress
薪资范围
3,224个数据点
Junior/L3
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Data Scientist E1
0份报告
$83,068
年薪总额
基本工资
-
股票
-
奖金
-
$70,608
$95,528
面试经验
9次面试
难度
2.8
/ 5
时长
14-28周
体验
正面 11%
中性 78%
负面 11%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Behavioral Interview
5
Security Interview
6
Offer
常见问题
Technical Knowledge
Behavioral/STAR
Past Experience
Security Clearance
Coding/Algorithm
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