{"id":163809,"url":"https://alion.io/job/nxp-semiconductors-senior-software-engineer-modelzoo","title":"Senior Software Engineer Modelzoo","company":{"id":17368,"name":"NXP Semiconductors","domain":"nxp.com","url":"https://alion.io/company/nxp","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":200,"ghost_share":0,"stale_share":0.92,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":139},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"cuDNN","optional":false},{"name":"Machine Learning","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Quantization","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"LiteRT","optional":true},{"name":"OpenVINO","optional":true},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-06-12T00:00:00Z","employer_posted_date":"2026-06-12","last_verified_at":"2026-10-17T21:08:53Z","board_verified":true,"closed_at":null,"days_open":128,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":128},"description":"Job Title: Software Engineer (2-3 years experience)\nJob Summary\nWe're looking for a skilled and motivated Machine Learning Software to join our team. The ideal candidate will have a solid foundation in deep learning and a strong interest in optimizing and deploying ML models on specialized hardware. This role involves implementing model optimizations, with a particular focus on quantization, to improve the performance of machine learning inference on target platforms.\nKey Responsibilities\nModel Porting & Deployment: Port and deploy deep learning models from frameworks like PyTorch and TensorFlow to proprietary or commercial ML accelerator hardware platforms.\nPerformance Optimization: Analyze and improve the performance of ML models for target hardware, focusing on latency and throughput.\n Quantization: Contribute to model quantization efforts (e.g., INT8) to reduce model size and accelerate inference while maintaining model accuracy.\nProfiling & Debugging: Use profiling tools to identify and fix performance bottlenecks in the ML inference pipeline on the accelerator.\nRequired Qualifications\nTechnical Skills:\nProficiency in deep learning frameworks such as PyTorch and TensorFlow.\nHands-on experience with deploying and optimizing models on GPUs or other specialized accelerators.\nSome experience with model quantization (Post-Training Quantization).\nStrong proficiency in C++ and Python.\nExperience with GPU programming models like CUDA/cuDNN is a plus.\nFamiliarity with ML inference engines and runtimes (e.g., TensorRT, OpenVINO, TensorFlow Lite).\nFoundational understanding of computer architecture principles.\nVersion Control: Proficient with Git and collaborative development workflows.\nEducation: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.\nPreferred Qualifications\nKnowledge of hardware-aware model design.\nFamiliarity with compiler technologies for deep learning.\nExperience with real-time or embedded systems.\nKnowledge of cloud platforms (AWS, GCP, Azure).\nExperience with CI/CD pipelines for ML models.\n More information about NXP in India...\n#LI-2734","description_format":"text","description_chars":2131,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","RF & Wireless Hardware","Analog & Power Semiconductors"],"lifecycle":[{"event":"open","at":"2026-06-12T00:00:00Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long 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