Applications Engineering, Staff Engineer
Location
Mountain View, CA | United States
Job description
Job Description and Requirements
At Synopsys, we’re at the heart of the innovations that change the way we work and play. Self-driving cars. Artificial Intelligence. The cloud. 5G. The Internet of Things. These breakthroughs are ushering in the Era of Smart Everything. And we’re powering it all with the world’s most advanced technologies for chip design and software security. If you share our passion for innovation, we want to meet you. Our Systems Design Group – which you will be part of - is all about enabling our customers to adopt a software-first approach to building and testing high-performance embedded systems. We’re the world’s leading provider of solutions to accelerate software-defined vehicle (SDV) validation through Synopsys virtual prototyping and electronic digital twin technologies, eliminating months off customers’ project schedules.
Senior Applications Engineer We are looking for an experienced Application Engineer for the virtualization of automotive systems: You will be using our tools to help customer engineers transfer their work from hardware-based development tools (HiLs, test rigs, PiLs) into the virtual world. You will be their guide and support as they transition to simulation-driven development and validation of highly complex technical systems. You will enable productivity growth of teams and departments with virtualization technology to ensure customers can meet their challenging quality and time-to-market goals.
In this role, you will partner with sales and customer technical leaders to identify business challenges, develop effective technical solutions for new accounts, and increase the utilization and retention of products on current accounts. Typical activities include product demonstrations, evaluations, training, support for product usage, and tracking of issues reported by customers. Additionally, you will provide inputs to R&D to enhance our products and promote Synopsys technology in trade shows and seminars.
Key Qualifications - Thorough understanding of the automotive SW development process, toolchains and ECU architectures
- Strong programming skills and affinity, preferable you have a background working on embedded software
- A degree in Computer Science, Computer Engineering, Automotive Systems engineering or related or proven exposure during 5+ years of related work
Nice To Have - Previous experience in an Application Engineering position.
- Knowledge about and experience in basic software stacks commonly found in automotive
- Understanding of automotive standards such as A2L, AUTOSAR
- Expertise in automotive protocols and services such as CAN, FlexRay, Ethernet, XCP
- Hands-on experience in software development and testing embedded systems
- Knowledge of processors such as ARM, TriCore, PowerPC
- Experience with scripting in Python or Tcl
- Knowledge about test automation, continuous integration and test (like Jenkins)
What You Are Like - You realize that your success is based only on customer success
- You work closely with your colleagues and maintain an open and friendly atmosphere to encourage productivity, creativity, and innovation
- You are a quick learner and you are solving problems creatively
- You are motivated by deadlines and you are results-driven
- You thrive in an agile, fast-paced environment with both collaborative and individual work
- You have strong communication skills, inside and outside the company
Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability. The base salary range across the U.S. for this role is between $106,000.00-$185,000.00. In addition, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on several job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request.
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