Staff Software Signal Processing Engineer/Scientist

1 Hour ago • 3-8 Years • $152,600 PA - $228,800 PA

Job Summary

Job Description

The Staff Software Signal Processing Engineer/Scientist will design and implement algorithms and software for detecting genomic data from signals. Responsibilities include designing, prototyping, and implementing signal processing and bioinformatics algorithms; developing and debugging optimized C/C++ software on Linux; analyzing data and optimizing software; collaborating in an agile environment; and collaborating with external teams. This role requires strong problem-solving skills, experience with signal processing and data analysis, proficiency in C++, and the ability to work effectively in a team. The candidate should have a Master’s degree or PhD in a relevant field.
Must have:
  • Strong problem-solving and analytical skills.
  • Experience with signal processing and data analysis.
  • Proficiency in C++ programming language.
  • Ability to work effectively in a team environment.
  • Strong written and verbal communication skills.
Good to have:
  • Experience with image processing.
  • Experience with communication and information theory.
  • Experience with wireless modems and RF processing.
  • Experience with Python or Matlab for simulation.
  • Familiarity with Agile software development.

Job Details

At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.

Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.

Position Summary:

Illumina’s Primary Analysis team specializes in designing algorithms and developing software to detect genomic data from signals contained within images.  Algorithmic challenges in this area include compensating for signal impairments introduced by optical, chemical, and mechanical systems. Implementation challenges include managing parallel tasks, optimizing memory accesses, and improving the speed and accuracy of genomic base calling. We develop methods to address these challenges by focusing on high reliability, speed, and completeness of results.  We are seeking an exceptional individual to join our team in developing analysis solutions for use by researchers and clinicians worldwide.

Responsibilities:

  • Design, prototype, and implement signal processing and bioinformatics algorithms
  • Develop, debug, and integrate optimized C/C++ software on Linux for multi-threaded applications.
  • Analyze data and optimize software at the algorithm, design, and/or source code level
  • Collaborate in an agile environment to maintain high quality software against established processes
  • Collaborate with external teams to ensure a smooth, end-to-end workflow with external organizations
  • Provide technical leadership and represent the team at project and executive levels

Requirements:

  • Strong problem-solving skills
  • Experience with signal processing, data analysis, and the application of statistical approaches
  • Strong software development skills, including proficiency with tools for debugging and performance optimizationExperience with C++ is preferred, but other languages will also be considered (Minimum: intermediate level with understanding of object-oriented design)
  • Experience with multi-threaded software, real-time systems, and/or software acceleration
  • Ability to define the architecture, develop, and debug software applications
  • Personal initiative and ability to work effectively as part of a team
  • Superior written and verbal communication skills
  • Be curious, detail oriented, and analytical, with a proven ability to learn quickly

Relevant Experience that Maps Well to Our Challenges:

  • Experience with image processing
  • Experience with communications theory and information theory
  • Experience with wireless modems, digital communications, linear equalizer design, and/or RF baseband signal processing experience
  • Experience using Python, Matlab, or Matlab-like simulators for algorithm development and system simulation
  • Proficiency with tools for software performance analysis and optimization
  • Familiarity with Agile software development processes (e.g. Scrum)
  • Experience with using version control systems such as Git

Education:

  • Master’s degree or PhD in bioinformatics, biology, engineering, physical sciences, computer science, mathematics, statistics, or equivalent, preferred.

Experience:

  • Typically requires a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3+ years of experience; or equivalent experience

#LI-ONSITE

The estimated base salary range for the Staff Software Signal Processing Engineer/Scientist role based in the United States of America is: $152,600 - $228,800. Should the level or location of the role change during the hiring process, the applicable base pay range may be updated accordingly. Compensation decisions are dependent on several factors including, but not limited to, an individual’s qualifications, location where the role is to be performed, internal equity, and alignment with market data. Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package. We offer a wide range of benefits as innovative as our work, including access to genomics sequencing, family planning, health/dental/vision, retirement benefits, and paid time off.


We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants.

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About The Company

The potential of genomics to change the world is unparalleled. At Illumina, we are leading the way. Our technology empowers researchers and clinicians globally to improve cancer treatments, change the course of diseases, protect the environment, and fight food insecurity. We are made up of dedicated professionals, all-in on creating a better world – and we need every skill set on our path to making genomics useful for all.

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