Jobs
The Bosch wireless sensors and embedded systems research group is looking for an enthusiastic graduate student intern to work on product oriented research. We seek an ideal candidate with good theoretical background and strong desire for practical implementation in the area of Wireless Sensing. This internship will provide the candidate with an all round research experience of product development including active contribution in developing requirements specification and algorithm/protocol development leading to proof-of-concept demo.
- Design and develop innovative intelligent wireless solutions with focus on AI/ML.
- Design and develop embedded software to implement proof of concept prototypes.
- Conduct performance analysis and feasibility studies using simulations, experiments, analytical modeling.
- Publish research work in the form of patents and conference/journal publications
Required Qualifications:
- PhD Student in Computer Science or Electrical Engineering
- Experience in wireless communication, signal processing and machine learning.
- Solid background in wireless sensing techniques: RSSI, ToF, CSI, CIR,...
- Experienced in using different machine learning libraries and tools (e.g. Tensor Flow)
- Strong C and Python programming skills, embedded programming experience is a big plus
- Minimum GPA of 3.0
- Duration of Internship: 3-6 months
Preferred Qualifications:
- Knowledge of data augmentation models, synthetic data generation, GANs and transfer learning
The U.S. base salary range for this intern position is $32.00 -$69.00 per hour*. Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.*
Equal Opportunity Employer, including disability / veterans.
**Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group (www.bosch.com), a company with over 90 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of nearly 140 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design.
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About Bosch

Bosch
PublicRobert Bosch GmbH is a multinational engineering and technology company that develops automotive components, industrial technology, consumer goods, and energy solutions. The company operates across multiple sectors including mobility solutions, industrial technology, consumer goods, and building technologies.
10,001+
Employees
Gerlingen
Headquarters
Reviews
3.7
10 reviews
Work Life Balance
3.2
Compensation
3.8
Culture
4.1
Career
4.3
Management
2.9
72%
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Pros
Great people and team environment
Career development and learning opportunities
Good compensation and benefits
Cons
Poor work-life balance expectations
Management issues and favoritism
Lack of clear policies
Salary Ranges
711 data points
Junior/L3
Mid/L4
Senior/L5
Director
Junior/L3 · Controls Systems Engineer
5 reports
$114,713
total / year
Base
$99,750
Stock
-
Bonus
-
$103,500
$117,300
Interview Experience
7 interviews
Difficulty
2.4
/ 5
Duration
14-28 weeks
Offer Rate
71%
Experience
Positive 14%
Neutral 86%
Negative 0%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Interview Round 1
4
Technical Interview Round 2
5
HR Round/Salary Negotiation
6
Offer Extended
Common Questions
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
Project-based Assessment
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