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Job Overview:
Applications Engineering is a varied and wide-ranging role that combines deep technical expertise with outstanding interpersonal skills. As a Software Applications Engineer at Arm, you will mainly work with our partners to guide them through difficult and exciting software technical challenges. Your tasks will include answering customer support cases, working with customers on-site to help and working with engineering teams to improve our tools.
Responsibilities:
You’ll work with Arm partners through online portals and virtual meetings to help resolve complex software issues involving debug and development tools, including Arm DS Debugger and DSTREAM debug probes. You’ll also support hardware bring-up by helping identify and solve SoC issues.
This role includes occasional local and international travel to customer sites. Over time, you’ll create and deliver training on Arm IP, tools, and processes, support the development of others through knowledge sharing and mentoring, and collaborate closely with product engineering teams. You’ll represent customer needs by raising defects, improving documentation, and creating practical software examples and knowledge articles.
Required Skills and Experience :
- Bachelor's, Master's, or PhD degree in Computer Engineering, Computer Science, or Electrical Engineering (other subject areas will also be considered with confirmed experience)
- Minimum of 12 years of experience as an Applications Engineer, Embedded Software Development Engineer, Debug Engineer or SoC Bring-up Engineer.
- A deep understanding in one or more of the following, microprocessors, computer architecture and system-level architecture, including fabrics and interconnects.
- Strong background and experience in working with or developing software for the interaction between software and hardware (firmware, drivers, etc.)
- Experience in hardware SoC bring-up
- Plentiful experience crafting and debugging software in C/C++ and assembly
- A good understanding of software compilers, modeling solutions, simulation technologies and debuggers (e.g. gdb).
- Experience in a support engineering group or working directly with customers
- An understanding of multi-processor systems, SoC or Compute Sub System design including power and clock domains
- Knowledge of low-level debugging and JTAG
- Be self-motivated, adaptable, and able to lead change
“Nice To Have” Skills and Experience :
- Experience working with Arm CoreSight Architecture
- Knowledge of hardware performance debugging or application performance debugging
- Familiarity with Arm products and Arm's software ecosystem
- Python knowledge
- Experience of running software on different types of systems such as FPGAs, emulation, modelling technologies
In Return:
In return, you’ll join a supportive, inclusive team where you can learn, grow, and succeed in the role. Arm offers competitive benefits, flexible hybrid working, a healthy work–life balance, and opportunities to develop both technically and professionally.
10x Mindset at Arm
At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Read more about how we bring the 10x mindset to life on the Arm blog.
#LI-SL1
Accommodations at Arm
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
Hybrid Working at Arm
Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Equal Opportunities at Arm
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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About ARM

ARM
PublicThe future is built on Arm.
5,001-10,000
Employees
Cambridge
Headquarters
Reviews
3.3
4 reviews
Work Life Balance
1.5
Compensation
2.0
Culture
1.5
Career
1.5
Management
1.0
15%
Recommend to a Friend
Pros
Good coworkers and team support
Opportunity for significant contributions
Support from other managers
Cons
Lack of compassion during personal emergencies
Poor management decisions and leadership
Workplace safety issues
Salary Ranges
4,822 data points
L2
L3
L4
L5
L6
L2 · Financial Analyst L2
0 reports
$50,779
total / year
Base
$20,312
Stock
$25,390
Bonus
$5,078
$35,545
$66,013
Interview Experience
2 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HireVue Video Interview
3
Recruiter Phone Screen
4
Technical Interview
5
Final Interview
6
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
AI/ML Concepts
Past Experience
Culture Fit
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