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职位Booz Allen Hamilton

Computer Vision Software Engineer

Booz Allen Hamilton

Computer Vision Software Engineer

Booz Allen Hamilton

Dayton, OH

·

On-site

·

Full-time

·

1mo ago

必备技能

Python

AWS

Docker

Kubernetes

PyTorch

Azure

Machine Learning

Computer Vision Software Engineer:

The Opportunity:

As a software developer, you know that good software is more than a nice-looking interface and data. You need the right combination of clean code, APIs, analytics, and infrastructure to help build a user-oriented solution. We’re looking for a software developer like you to develop efficient and effective software, from vision to production-ready system, in an exciting, agile environment.

As a software developer at Booz Allen, you’ll use the latest architectural approaches and open-source frameworks and resources to overcome your clients’ most difficult challenges. You’ll use your passion to master new tools and techniques while helping to identify and implement system improvements. You’ll collaborate with your team as you code and deliver solutions that support the current architecture and operating environment, as well as support future functionality and enhancements.

Work with us to develop systems that create change for the better.

Join us. The world can’t wait.

You Have:

  • 3+ years of experience developing algorithms to extract, track, and analyze features in imagery
  • Experience with programming languages such as Python, MATLAB, C, and C++
  • Experience creating and testing modules and components for compliance with design specifications
  • Experience with containerization solutions such as Podman or Docker
  • Experience with workflows, web parts, site maintenance, and APIs
  • Ability to participate in design and code reviews and work effectively with designers, backend developers, and product managers
  • Ability to create solutions within a collaborative, cross-functional team
  • Secret clearance
  • Bachelor’s degree in a STEM field

Nice If You Have:

  • Experience working in an Agile environment
  • Experience with machine learning algorithms and using Python libraries, including Py Torch, or OpenCV
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Experience working in a microservices or distributed application environment
  • Experience with Kubernetes for scalable sensor deployment and management, including in proliferated systems
  • Knowledge of source control such as GitLab
  • Knowledge of DevOps continuous integration and continuous deployment
  • Knowledge of relational databases (RDMS), NoSQL, columnar, and graph data stores and structured and unstructured data formats
  • TS/SCI clearance

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $69,300.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

  • If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
  • If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination:

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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关于Booz Allen Hamilton

Booz Allen Hamilton

Booz Allen Hamilton Holding Corporation is the parent of Booz Allen Hamilton Inc., an American company specializing in digital transformation and artificial intelligence.

10,001+

员工数

McLean

总部位置

$4.2B

企业估值

评价

3.8

10条评价

工作生活平衡

4.2

薪酬

2.8

企业文化

4.3

职业发展

2.5

管理层

3.7

72%

推荐给朋友

优点

Supportive management and colleagues

Good work-life balance and flexibility

Diverse and interesting projects

缺点

Low or non-competitive compensation

Limited growth and advancement opportunities

Long hours during peak projects

薪资范围

26个数据点

L2

L3

L4

L5

L6

L2 · Cybersecurity Analyst L2

0份报告

$78,000

年薪总额

基本工资

$31,200

股票

$39,000

奖金

$7,800

$54,600

$101,400

面试经验

7次面试

难度

2.7

/ 5

时长

21-35周

录用率

43%

体验

正面 29%

中性 28%

负面 43%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Hiring Manager Interview

5

Team Interview

6

Offer

常见问题

Technical Knowledge

Behavioral/STAR

Past Experience

System Design

Culture Fit