{"id":3254330,"url":"https://alion.io/job/cisco-systems-audio-signal-processing-engineer","title":"Audio Signal Processing Engineer","company":{"id":90,"name":"Cisco Systems","domain":"cisco.com","url":"https://alion.io/company/cisco-systems","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":243,"ghost_share":0.037,"stale_share":0.498,"repost_share":0.086,"time_to_fill_p50_days":26,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lysaker, Norway"],"countries":["NO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":64000,"max_usd":186000,"period":"year","method":null,"sample_n":21788},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"C++","optional":true}],"status":"live","first_seen_at":"2026-10-23T00:00:00Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-11-02T11:41:04Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"Meet the team\nCisco Norway is a global leader in developing video conferencing technology - helping millions of people connect and collaborate worldwide. At our innovation center just outside Oslo, you'll join 300+ engineers working with hardware and software - from idea to design, mechanics, audio, media processing and artificial intelligence. Our solutions are trusted by businesses, universities, governments and organizations around the world.\nOne of the engineering teams, the Audio Software team, is now looking for a passionate engineer to join the team. We are responsible for developing the audio algorithms that run on our video devices. You will be part of the team, but also work closely with other hardware, software, and product teams to integrate the audio solutions seamlessly into our product stack.\nYour impact\nYou are an enthusiastic and skilled engineer who loves to work on high quality communications products. You are a teammate who challenges the status quo with creation and innovation. You can figure things out by yourself, but you are comfortable participating in our friendly and team-oriented collaboration approach to learn from others. Does this sound like you? \nTogether with us you will:\nDevelop and deploy traditional and ML audio processing algorithms on our products\nUse AI coding tools to accelerate development\nTake ideas from concept to production, directly improving the experience for millions of users\nMinimum Qualifications\nBachelor’s or Master’s degree in Electrical Engineering, Mathematics, Acoustics or a closely related technical field \nExperience with programming in Python\nExperience with and good understanding of audio signal processing\nPreferred Qualifications\nA problem-solver with a strong eagerness to learn new skills and expand your knowledge in a constantly evolving field\nProgramming experience in C/C++\nFamiliarity with ML frameworks\nEnjoys being part of a team and working towards common objectives\nExperience presenting technical information to technical and non-technical audiences\nWhy Cisco?\nAt Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.\nFueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. 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